Jobs

A leading cryptocurrency platform is on the lookout for a Chief Architect to lead the innovative integration of AI within our software development processes. In this pivotal role, you will be responsible for designing an AI-first ecosystem while guiding the transformation of our engineering practices.

If you are passionate about the potential of AI in engineering and have a successful track record of implementing large-scale architectural changes, we want to hear from you! Our ideal candidate will possess:

A strong conviction for AI applications in engineering.A product mindset that focuses on understanding and addressing developer needs.Experience collaborating with cross-functional teams to enhance engineering efficiency.This role will empower you to integrate advanced AI tools and foster high-efficiency engineering practices, making a direct impact on our development teams' success.

Join us in revolutionizing the cryptocurrency landscape!

A forward-thinking blockchain company is looking for a Lead Architect to spearhead the transformation of software development practices. We seek an innovative professional who will:

Design and implement an AI-first ecosystem. Drive advancements in AI-driven engineering methodologies. Serve as a technical authority and mentor within the team. This role demands a profound understanding of AI applications, substantial technical skills, and a product-centric approach to revolutionizing developer experiences. Join us to influence the future of engineering in the burgeoning fields of cryptocurrency and blockchain technologies.

Work Location: Madison, Wisconsin

We’re building the next generation of improvements in making Apple Intelligence more aware, more personal, and even more deeply integrated with the ecosystem of Apple products that millions of users know and love today. We’re enabling our intelligent systems with access to computer vision, additional sensing, and enhanced reasoning capabilities, all while upholding the strong privacy values our users can trust. We’re looking for software engineers to build user experiences that will harness cutting-edge sensing and AI technology to bring new and delightful experiences to life.

*Description**
In this role, you will work across the stack, from low-level system software and frameworks to end-user experiences. Your work will be highly cross-functional, requiring collaboration with design, algorithms, software, services, privacy, security, performance, and hardware teams across Apple to define requirements and build end to end user facing features.
You will write software using Swift, evaluate AI/ML algorithms, debug complex cross-device interactions, and contribute to a culture of shipping high-quality production code. You will also need to apply excellent UX intuition to identify and shape feature opportunities, iterate with design, and define technical requirements that drive development.

*Preferred Qualifications**
Shipping customer-facing features or products to production at scale
Developing for Apple platforms using Apple system frameworks like SwiftUI and ARKit

Building & shipping features using LLMs and/or Machine Learning algorithms, including on-device inference, data-driven validation, requirement definition, and collaboration with algorithm teams

Processing sensor data (e.g. image/video, audio, motion) and/or developing AR applications

Developing & validating personalization features, including working with sensitive data such as conversation transcripts or Health data

Developing under strict privacy and security constraints, including techniques

At Gusto, were on a mission to grow the small business economy. We handle the hard stuff—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses across the country, and we’re building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy.

About the role

Gusto’s AI/ML Eng team leverages our rich dataset to guide product direction and decision-making by building the right solutions at scale. We’re looking for a senior technical leader (individual contributor) who will design robust AI/ML systems and services through close partnership with seasoned leaders across Engineering, Product, Design, Data Science, Marketing, and Customer Excellence. This means you will also define the strategy along with shipping impactful models and services to evolve our AI/ML capabilities and practices.

We have several open roles across two embedded areas:

Unified Service Platform optimizes our customer experience, creates personalized engagement moments, and drives automated or AI enhanced assistance. We develop AI tools and platform components (ex. embedding algorithms) to improve performance and customer satisfaction.Growth builds AI/ML-powered experiences that drive relevant, timely product adoption. Our team enables contextual customer interactions through growth-oriented capabilities like propensity modeling and recommendations.Here’s what you’ll do day-to-day

Design and develop scalable, production-grade AI/ML models and services for complex business and customer experience problems.Lead technical strategy and architecture for key AI/ML domains, including model lifecycle, observability, safety, and evaluation.Collaborate cross-functionally to identify high-leverage AI/ML opportunities, translate them into actionable roadmaps, and deliver measurable outcomes.Build, harden,

Amentum is a global leader in advanced engineering and innovative technology solutions, trusted by the United States and its allies to address their most significant and complex challenges in science, security and sustainability. Our people apply undaunted curiosity, relentless ambition and boundless imagination to challenge convention and drive progress. Our commitments are underpinned by the belief that safety, collaboration and well-being are integral to success. Headquartered in Chantilly, Virginia, we have approximately 50,000 employees in more than 70 countries across all 7 continents.

We are seeking a highly skilled and motivated AI Technology Support Engineer/Analyst to join our dynamic team. The ideal candidate will possess a strong technical background in AI technologies, exceptional problem-solving abilities, and a passion for providing top-tier technical support. This role involves troubleshooting, diagnosing, and resolving complex issues related to AI products and services, as well as collaborating with cross-functional teams to enhance product performance and customer satisfaction.

Key Responsibilities:

Provide technical support for AI products and services, addressing client inquiries, troubleshooting issues, and offering resolutions in a timely and efficient manner.

Diagnose and resolve complex technical problems related to AI algorithms, model deployment, data processing, and system integration.

Collaborate with product development, engineering, and data science teams to identify and implement solutions for improving AI system performance and functionality.

Conduct thorough analysis of technical issues, document findings, and communicate solutions to internal teams and clients.

Develop and maintain comprehensive technical documentation, including user guides, troubleshooting manuals, and FAQs.

Offer training and guidance to clients and internal teams on the utilization and optimization of AI technologies.

Stay up-to-date with e

AI,C#,ASP.NET 4.5,Java,LLM,Python,Vector,Semantic Kernel, AI Foundry ,LLMs (Azure OpenAI, OpenAI, Anthropic,MicroServices,Azure DevOps,Docker,Kubernetes

Role Descriptions: 8 years of Strong proficiency in Python| C| or Java Hands-on experience in building RAG-based systems and implement RAG pipelines using embeddings| vector search| and LLMsSolid experience with Vector Databases and embedding-based search e.g. Azure AI SearchPractical experience with Semantic Kernel| AI Foundry| Lang Chain| LlamaIndex| or similar frameworks| Azure ServicesExperience working with LLMs (Azure OpenAI| OpenAI| Anthropic| or equivalent)Strong understanding of REST APIs| microservices| and cloud-native architecturesExperience in developing secure| scalable APIs and services to support AI-driven applicationsEnsure best practices around security| data privacy| observability| and cost optimizationExperience in building multi-agent and tool-using workflows using Semantic Kernel| AI Foundry| or similar orchestration frameworksCollaborate with product| data science| and platform teams to translate business requirements into AI solutionsExperience deploying applications on cloud platforms (Azure preferred)Familiarity with CICD| containerization (Docker)| and orchestration (Kubernetes is a plus)
Essential Skills: AI C ASP.NET 4.5 Java LLM Python Vector Semantic Kernel AI FoundryLLMs (Azure OpenAI OpenAI Anthropic MicroServices Azure DevOps Docker Kubernetes
Desirable Skills:
Keyword:
Skills: Digital : Python~Digital : Docker~Core Java~ASP.NET 4.5
Experience Required: 8-10

At ClickUp, we’re not just building software. We’re architecting the future of work! In a world overwhelmed by work sprawl, we saw a better way. That’s why we created the first truly converged AI workspace, unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI, empowering millions of teams to break free from silos, reclaim their time, and unlock new levels of productivity. At ClickUp, you’ll have the opportunity to learn, use, and pioneer AI in ways that shape not only our product, but the future of work itself. Join us and be part of a bold, innovative team that’s redefining what’s possible!

ClickUp is the breakout momentum leader in every G2 category were in and ready to take off! Our app is the first of its kind to work for everyone from families to Fortune 500 companies.

Were looking for a Security Engineer, AppSec for a brand-new, engineering-focused security team. We partner with and embed inside of existing engineering teams at ClickUp. The security team at ClickUp works to build and share technology including defensive security features and functionality, secure infrastructure and operational tools, security response tooling and processes, and security guidelines and guardrails.

You will work to build a culture of security enablement. Your focus on our product engineers will allow them to build and ship secure products based on Angular, Node.js, and PostgresSQL, all hosted in AWS.

Youll be a strategic partner working directly with various engineering teams helping to design, develop and guide teams to secure solutions. Were scaling quickly, and are looking for Security Engineers who arent afraid of this challenge!

The Role:

Perform some or all of the following, depending on skill-set:

• Design, develop and build security features and defenses that protect the entire scope of the ClickUp platform.

• Perform threat models, implementation reviews, and security testing; review requirements and designs.

• Des

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.

What You'll Do:

As a Staff Software Engineer (IC5) on the AI Workload Orchestration Platform team, you will act as a technical leader for CoreWeave's Kubernetes-native orchestration strategy for AI workloads.

You will define and evolve the architecture for how AI workloads are admitted, scheduled, and governed across large GPU clusters using frameworks such as Kueue, Volcano, and Ray. This platform serves as a strategic complement to SUNK (Slurm on Kubernetes) and underpins both training and inference workloads across the CoreWeave cloud.

This role requires strong systems thinking, cross-team influence, and a long-term view of platform scalability, reliability, and developer experience.
About the role:
Own the technical vision and architecture for major portions of the AI Workload Orchestration PlatformDesign scalable, reliable orchestration primitives for AI workloads across multiple schedulers and runtimesLead cross-team architecture reviews and drive alignment across infrastructure, CKS, and managed inference teamsDefine platform standards for reliability, observability, capacity management, and operational excellenceIdentify and resolve systemic performance, scalability, and fairness issues across large GPU clustersMentor senior engineers and grow technical leadership within the organizationRepresent the platform in technical reviews and influence broader CoreWeave platform strategyWho You Are:
8+ years of professional software engineeri

OVERVIEW OF THE COMPANY

Fox Corporation

Under the FOX banner, we produce and distribute content through some of the world’s leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking.

JOB DESCRIPTIONFOX Forward Deployed is an 12-month rotational program that embeds early-career engineers inside the teams responsible for FOX’s biggest, most-watched moments.

You will complete two six-month deployments across Streaming, Sports, News, AI systems, and shared platforms. You will contribute directly to production systems used by millions.

This is not a shadow program.

ABOUT THE ROLE

As a Software Engineer in the FOX Forward Deployed program, you will rotate across two engineering teams embedded within core business units across Sports, News, FOX One, AI, Revenue Platforms, and shared platform organizations. You will work inside the teams that own the systems, partnering directly with engineers, product leaders, AI specialists, and business stakeholders to solve real operational problems and ship alongside them.

You will design, build, and deploy production systems that power consumer facing products and enterprise platforms across the FOX ecosystem. From live sports and breaking news to AI systems and shared infrastructure, you will operate in high visibility environments where performance, reliability, scale, deadlines, and real time delivery are non-negotiable. Systems must perform under pressure, and your work will have a measurable impact.

You will operate in an AI native engineering environment leveraging agentic development platforms such as Claude Code, Codex, Replit, Loveable, OpenHands, Letta, Devin, Kiro, and Windsurf, alongside enterprise AI and data platforms including AWS

About Influur

We're building the world's first viral agent. An AI purpose built for influencer marketing.

Not a tool. Not a platform. An autonomous agent that goes from "I need this campaign to break" to "50 influencers live next week" with minimal human intervention.

Why this matters: We have 3 years of proprietary data on what makes influencer content go viral. Warner, Sony, and Universal trust us to break their biggest artists. We're backed by the biggest names in entertainment including Sofia Vergara, Karol G, Tommy Mottola, and Tier 1 VCs like Point72 Ventures. We're not building for hypothetical use cases. We're shipping production AI that drives millions in revenue today.

Why we'll win: We have what no one else has: both the data and the distribution. We have proprietary data on thousands of influencers and what makes content go viral, plus direct relationships with the influencers themselves. In the AI era, having both is the moat. Everyone else has one or the other. We have both.

Why now: AGI agents will replace middle level work by 2027. We have a 12 to 18 month window before the market floods with agents. We're building the category defining social media viral agent right now.

What we're looking for: Elite builders who want full ownership, not a narrow role. This is not a “data engineer” job in the traditional sense. It’s an opportunity to own the full lifecycle: from raw video ingestion to the decisions made by autonomous AI agents in production. We offer meaningful equity to people who want to define the future of agentic AI and own a real piece of it.

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Your SkillsetExpert-level Python engineering with clean, modular, reusable code.Experience building scalable data pipelines for unstructured data (video, audio, multimodal).Strong understanding of video/sound processing (codecs, frame extraction, batch & streaming workflows).Hands-on experience building AI agents: memory, planning, tool use, and execution loops.Ability to

About Nscale Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development.

Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work.

If you join our team, you'll be contributing to building the technology that powers the future.

About The Role We're hiring a Senior Staff Security Engineer, Identity to define and lead Nscale's identity and access architecture at scale. This is a high-impact role focused on shaping how identity, authentication, and authorization operate across infrastructure, platform, and internal systems. You'll set long-term technical direction, design foundational systems, and partner closely with engineering leadership as well as infrastructure, platform, and security teams to embed identity into every layer of the stack.

Your work will directly influence how Nscale secures highly distributed systems, supports safe multi-tenant workloads, and builds scalable identity primitives for both humans and services. This role matters because identity is a foundational part of secure, scalable infrastructure—and you'll help define how it evolves across the company. What you'll be doing Identity strategy and architecture Define Nscale's identity vision and multi-year roadmap in line with platform and infrastructure strategy.

Set the long-term technical direction for identity, authentication, and authorization across core systems.

Design foundationa

Engineering Manager - Identity and Access Management (IAM)
Bellevue, Washington

P-1107

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.

Customers trust Databricks with their most valuable data, and Trust & Safety has the mission to build the most trusted Data and AI platform in the world. Identity and Access Management (IAM) is at the heart of this mission, ensuring that the right users and services have the right access at the right time. We are looking for an Engineering Manager to lead our IAM team and define the strategy for how authentication, authorization, and identity services are built and scaled across our platform.

The impact you will have:

Build and scale a high-performing engineering team focused on authentication, authorization, and identity management at cloud scale.
Define and drive the strategy for IAM systems, including user identity, access control frameworks, and authentication.
Partner with engineering and product leaders across Databricks to embed secure, scalable identity solutions into every aspect of our product.
Ensure regulatory compliance and alignment with industry best practices for IAM, helping customers meet their own governance, privacy, and security needs.
Provide technical oversight on architecture and design for IAM components while guiding the team to deliver pragmatic, high-quality solutions.
Attract and grow top engineering talent, building a team culture that emphasizes innovation, collaboration, and customer trust.

What we look for:

9+ years of professional experience in software engineering, with 5+ years of engineering leadership experience.
Strong track record building and managing high-performing teams, including experience scaling

We are seeking an experienced and strategic Senior Manager of Application Security to lead our application security team. This role is responsible for building and maturing our application security program, embedding security throughout the software development lifecycle (SDLC), and ensuring that Nordstrom’s applications and APIs are protected against evolving threats. The ideal candidate will drive technical strategy for application security tooling, scale secure-by-design practices, and lead initiatives to integrate security seamlessly into engineering workflows while building a high-performing AppSec team. You will partner closely with product engineering, platform, and DevOps teams to deliver security at the speed of development. The right leader will bring an AI-first mindset and a proven ability to enable their team to embrace and leverage AI in their day-to-day work.

Key Responsibilities:

Strategic Leadership & AppSec Program Vision

Develop and execute a strategic roadmap for application security across the SDLC, including secure code review, SAST/DAST/SCA tooling, API security, secrets management, and developer security enablement.Champion an AI-first approach to application security, identifying opportunities to leverage AI for vulnerability detection, code analysis, threat modeling automation, and developer guidance.Drive a shift-left security strategy, embedding security practices early in the development lifecycle and reducing time-to-remediation for application vulnerabilities.Create multi-quarter implementation plans for maturing the AppSec program, including bug bounty expansion, penetration testing cadence, and security champions growth, aligned with enterprise security and engineering objectives.Identify and prioritize application security investments based on threat intelligence, vulnerability trends, business risk, and the evolving attack surface of Nordstrom’s web, mobile, and API ecosystem.Establish meaningful AppSec metrics that demonstrat

Nelnet is a diversified and innovative company committed to enriching lives through the power of service as a student loan servicer, professional services company, consumer loan originator and servicer, payments processor, renewable energy solutions, and K-12 and higher education expert. For over 40 years, Nelnet has been serving its customers, associates, and communities.

The perks of working at Nelnet go beyond our benefits package. When you join the Nelnet team, you're part of a community invested in the success of each individual. That support comes through in our work, as we are united by our mission of creating opportunities for people where they live, learn, and work.

The Cybersecurity AI Automation Engineer at Nelnet plays a critical role in advancing the organization's cybersecurity capabilities through intelligent automation and AI-driven solutions. This position partners closely with cybersecurity and internal teams to design, build, and deploy automated workflows that increase operational efficiency, reduce manual effort, and surface actionable insights.

This role requires strong technical acumen, practical problem-solving, and a collaborative mindset to deliver scalable solutions within Nelnet's AI infrastructure.

You will:

- Design and deploy AI-powered automation pipelines that support operational workflows.

- Integrate automation solutions within Nelnet's existing AI infrastructure - LLM APIs, orchestration platforms, and workflow tooling.

- Consult with internal teams to eliminate manual, repetitive processes across cybersecurity operations through scalable AI solutions.

- Apply DevSecOps principles throughout the software delivery lifecycle.

- Collaborate with stakeholders to translate business and compliance requirements into well-scoped automation solutions.

- Continuously evaluate emerging AI and automation capabilities for opportunities across cybersecuri

Home / Senior Response Automation Engineer - Information Security Senior Response Automation Engineer -

Information Security Distributed Locations: United States Apply Now Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role: As a Senior Response Automation Engineer at Elastic you will work to enhance and maintain the workflows supporting Elastic front-line defenders, assisting the team delivering safe and secure products and services to our customers, users, and fellow Elasticians. Currently, the Threat Detection and Response Team heavily relies on automation - we have developed many integrations and intelligent workflows to provide alert context, take action automatically, and more. This has resulted in significant time savings and efficiencies. Our ability to continue to enhance existing workflows and develop new ones to take us to the next level in our SOC-less journey. In this role, you will be responsible for understanding, maintaining, and improving threat detection and response processes, working on automations that support alert triage through management of response cases. If doing all of this with the Elastic Stack excites you, then we'd love to meet you! What You Will Be Doing: Drive the full lifecycle of automation development, from design to maintenance, to significantly advance our threat detection and response capabilities. Optimize and automate core SOC/IR analyst

DevSecOps Engineer with cloud expertise 💰 Salary: $125,000 - 125,000 per year

At Earth Science Tech, Inc we are looking for a DevOps engineer!

🛠️ Our tech stack:
AI, AWS, Architect, Azure, Backend, CI/CD, Claude Code, Copilot, DevSecOps, ETL, GitHub, GitLab, Network, Python, Security, Terraform, Web, WordPress, NodeJS, Cloud, DevOps

📝 Rquirements:
- 7–10 years of experience in cybersecurity and software engineering, emphasizing hands-on penetration testing and vulnerability assessments.
- Strong proficiency in Python for tool development, automation of scans, and script-based remediation workflows.
- Deep understanding of Azure security architecture, including configuration, identity management, network security groups, and compliance tooling.
- Proven track record of assessing and fortifying web applications and WordPress environments.
- Familiarity with industry-standard security tools such as Burp Suite, Nessus, Metasploit, and Nmap.
- Hands-on experience with CI/CD platforms (e.g., GitHub Actions, GitLab CI) and infrastructure-as-code frameworks (e.g., Terraform, CloudFormation).
- Practical knowledge of SAST/DAST tools, dependency scanning solutions (e.g., Snyk, Trivy, SonarQube), and secrets management systems (e.g., HashiCorp Vault, AWS Secrets Manager).
- Experience in both startup and enterprise settings, able to differentiate between impactful security measures and ineffective security theater.
- Excellent communication skills to explain technical risks to both engineering teams and non-technical leadership.
- Current engagement with AI-enhanced development and security tools for improved productivity.
- Familiarity with Node.js is advantageous but not essential.

👩‍💻👨‍💻 Your responsibilities are:
- Conduct vulnerability assessments and penetration tests across web applications, networks, Azure configurations, and WordPress environments.
- Evaluate Azures security posture by analyzing identity and access policies, network security groups, storag

A leading cryptocurrency company is looking for a talented Blockchain Security Engineer to bolster the security of its innovative products. In this pivotal role, you will engage in:

Conducting design reviewsPerforming comprehensive threat modelingCollaborating with diverse, cross-functional teamsThe ideal candidate will have:

A solid understanding of blockchain technologyExceptional communication skillsExperience utilizing AI toolsThis is a fantastic opportunity for a mission-driven individual who is eager to tackle significant challenges in a dynamic, fast-paced environment. Join us in shaping the future of cryptocurrency security!

Overview
Are you ready to push beyond your limits? At Coinbase, our mission is to enhance economic freedom globally. This ambitious goal necessitates the best from us every day as we develop the on-chain platform and shape the future of the global financial system. We seek a unique candidate with a deep passion for our mission and a belief in the transformative power of crypto and blockchain technology.

We want individuals eager to make a significant impact, who thrive under pressure and relish collaboration with high-caliber colleagues. Feedback is a tool for growth here, and we encourage a proactive approach to tackling the company's most challenging problems. Our work culture is intense and may not suit everyone. However, if you aspire to build the future alongside talented individuals who expect excellence, this is the right place for you.

At Coinbase, security is not just a priority; it forms the foundation of all we do. In the rapidly evolving digital currency landscape, maintaining trust is crucial—security breaches can determine success or failure. That’s why we have made security a cornerstone of our mission, setting a high standard for protecting millions of customers and billions in assets.

Responsibilities
As a Blockchain Security Engineer on the Decentralized Financial Security Team, you will collaborate closely with engineers, technical product managers, and senior leadership to design secure products from the ground up. Your role will include:

Conducting secure design reviews and threat modeling.Performing vendor reviews and secure code reviews for upcoming Coinbase products or features impacting millions of customers.Identifying key product risk areas and leading cross-functional risk-reduction initiatives.Enhancing and automating existing processes for improved efficiency using AI tools.Creating monitoring solutions to ensure identified risks remain manageable for Coinbase.Participating in the on-call rotation by providing timely design consulta

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.About the job you’re considering We are seeking a passionate and innovative Software Development Engineer in Test (SDET) to join our Quality Engineering team and lead the development of LLM- and agentic-based testing solutions. This role blends traditional automation expertise with cutting-edge AI technologies to build intelligent, scalable, and autonomous testing frameworks that redefine how we validate software quality.Your role Design and implement end-to-end testing frameworks leveraging Large Language Models (LLMs) and agentic workflows. Develop and maintain automated test suites for UI, API, and data layers across multiple platforms. Collaborate with AI/ML engineers to integrate Natural Language Processing (NLP) models into testing pipelines. Build and manage test data pipelines for diverse applications and environments. Create and maintain CI/CD pipelines to support continuous testing and deployment. Identify and resolve environmental and data dependencies for comprehensive E2E testing. Lead defect triage, backlog grooming, and root cause analysis sessions. Your skills and experience Around 1 year of experience working in or supporting AI‑based testing environments, or strong interest with hands‑on exposure through projects or coursework. Working knowledge of at least one programming or scripting language such as Python (preferred), Java, or JavaScript. Basic to intermediate experience with test automation tools like Selenium, Playwright, Cypress, or similar frameworks. Familiarity with API testing concepts and tools such as Postman, RestAssured, or equivalent.

Overview

If you are obsessed with AI and love turning cutting-edge tools into real, deployed systems that people actually use, this is your role. Not research, not demos - implementation. You will be the person who brings AI into our clients' organizations and makes it stick.

At Swans, we are assembling a team of "Avengers": technical problem-solvers who walk into organizations, identify where AI can unlock the most value, and build and deploy the systems that make it happen.

About Swans

Our Company: We are a fast-moving consulting & implementation agency that improves the way US law firms use technology to deliver better services to their clients.

Our Team: We're currently an international team of 10 and expect to grow to 30+ in the next 12 months.

Our Culture: We are energetic, no-BS, intense, results-oriented, and driven to change our industry forever.

What you'll actually do

AI adoption is the single biggest unlock for the organizations we work with - and the gap between "we have access to AI tools" and "AI is embedded in how we work" is enormous. Your job is to close that gap.

You will deploy AI solutions that are practical, safe, and built to last. This means working across the full stack of modern AI implementation: custom integrations, automation workflows, LLM-powered tools, and hands-on enablement with client teams. You will build the connectors, agents, and workflows that make AI actually work inside our clients' existing systems - and you will help our internal team move faster with AI as well.

Your primary toolkit will be the Claude and Google ecosystems, and you will stay at the cutting edge of what is possible with both.

Day in the life

You are embedded in client engagements and internal projects simultaneously. On the client side, you are building custom AI integrations, deploying workflows, and running enablement sessions that drive real adoption. Internally, you are the person who helps the team move faster by identifying and deploying

AI EngineerConsultant

Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that power Human Capital AI products and analytics. You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non-functional requirements), partnering closely with product, data science/ML, security, and platform engineering to deliver reliable, secure, and scalable AI solutions.

This role is hands-on and delivery-oriented: you will ship production pipelines and services that support model training, real-time inference, and LLM applications using Claude-, GPT/Codex-, and Gemini-class models, and more implemented with strong governance, observability, and cost/performance discipline.

Recruiting for this role ends on August 30, 2026Work You'll Do:

As an AI Engineer Consultant, you will design, build, and run the trusted, governed data + feature + retrieval layer used by AI/ML and GenAI solutions. You will deliver reproducible datasets and features, operationalize quality and lineage, and enable secure consumption patterns for both predictive ML and LLM-based experiences.Key Responsibilities:

Partner with the Lead AI Solutions Architect and AI Data Engineer to design, build, and deploy secure, scalable AI solutions (APIs, services, pipelines, containers/serverless) that meet availability, performance, and security requirements.

Build and operationalize LLM-enabled products (copilots, HR knowledge assistant, summarization, policy Q&A) using Claude/GPT(Codex)/Gemini, including prompt/context patterns and tool/function calling.

Implement RAG and document intelligence patterns (ingestion, chunking, embeddings, vector/hybrid search) plus evaluation and retrieval telem

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Agentic AI Full Stack Software Engineer III- Java/Python/React at JPMorganChase within the Asset and Wealth Management Technology Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

Design, develop, test, and deploy external client-facing web applications that embed Generative AI and Agentic AI capabilities to enhance automation, personalization, and decision-makingBuild React-based UI experiences for LLM-powered workflows (e.g., chat, search, document Q&A, summarization, assisted advisory), emphasizing usability, accessibility, and performanceImplement and integrate agentic AI workflows that support multi-step task execution, tool/API orchestration, and defined human-in-the-loop controls and guardrailsDevelop and maintain front-end architecture (component patterns, state management, routing, error boundaries) and collaborate on UX patterns for AI features (streaming responses, citations, traceability, retry/fallback flows)Implement Model Context Protocol (MCP) integrations to enable AI agents to securely connect to and interact with external data sources, APIs, and enterprise tools in real timeBuild and maintain scalable data pipelines and data processing workflows for both structured and unstructured data, leveraging cloud services to support LLM-based features and real-time client interactionsDesign and develop robust APIs and microservices to integrate AI/LLM models into client-facing platforms, ensuring seamless, low-latency experiencesDevelop secure, high-quality, production-grade code that powers client-facing applications, ensuring relia

Company Overview

Cardinal Health, Inc. is a leading global healthcare services and products company, headquartered in Dublin, Ohio. With nearly 100 years of experience and over 50,000 dedicated employees across nearly 60 countries, we rank among the top 20 on the Fortune 500. Our mission is to connect patients, providers, payers, pharmacists, and manufacturers for better healthcare outcomes.

We pride ourselves on offering robust opportunities for career growth and development in a collaborative environment that prioritizes continuous improvement and employee well-being. Join our committed team with access to extensive training programs, mentorship, and a vibrant community.

We are currently looking for a SailPoint Identity Engineer to enhance our Identity & Access Management (IAM) division. This role is eligible for remote work.

Department Overview: IAM / IAG

The IAM and Identity Access Governance (IAG) team at Cardinal Health ensures comprehensive governance across all IAM solutions, processes, and access controls. Our responsibilities include:

User access review operations Enterprise identity governance Access certification accuracy and completion IAM controls and compliance Collaboration with Security Architecture, Risk, Compliance, and other security teams Utilizing tools like SailPoint IdentityIQ, CyberArk, and Okta. Responsibilities

IAM Integrations (Build)

Collaborate with clients and stakeholders to design and implement IAM-aligned service solutions. Define and document technical requirements for data elements in IdentityIQ, Okta, and CyberArk to achieve access management objectives. Design and implement a robust Role-Based Access Control (RBAC) framework. Enhance the Identity Governance and Administration (IGA) platform with AI-driven capabilities for better access reviews, entitlement analysis, role mining, and risk-based decision-making. Establish requirements for seamless integrations with IAM services. Identify and implement process im

A leading investment firm is seeking an HPC Security Solutions Architect to design and integrate robust security architectures for high-performance computing and AI workloads. This role involves collaborating with customers to define security requirements, implementing Zero Trust principles, and embedding security into CI/CD pipelines. Ideal candidates should have a background in security engineering, expertise in IAM, and strong communication skills. This position offers comprehensive benefits and a dynamic work environment.
#J-18808-Ljbffr NorthMark Strategies LLC

About the position

Zero Trust Engineer The Opportunity: As a Zero Trust Engineer on our project, you’ll coordinate with a dynamic team of thought leaders and experts to identify the right mix of tools and techniques to translate your customer’s IT security needs and future goals into a plan that will enable secure and effective solutions. We need to come up with the best solution, so you’ll investigate new techniques, break free from the legacy model, and go where the industry is going. You’ll lead the team through a critical approach to security architecture design, providing alternatives and customizing solutions to maintain a balance of security and mission needs. Your technical expertise will be vital as you help customers overcome their most difficult challenges by integrating cybersecurity technologies and solutions, including IoT, OT, and Cloud security, Automation and Orchestration (A&O), identity and access management, conditional-based access, attribute-based access control, and micro-segmentation. Join our team as we tackle cybersecurity challenges and shape opportunities to implement solutions and service offerings leveraging investments and proven capabilities. Join us. The world can’t wait.

Requirements

2+ years of experience with IT operations or cybersecurity2+ years of experience with technical project delivery for large, complex organizationsKnowledge of Zero Trust solutions, roadmaps, and capabilities in alignment with industry standards, including NIST 800-207, and DoD Zero Trust Reference ArchitectureKnowledge of networking, ICAM, SASE, ZTNA, CASB, and CloudAbility to work with senior leaders, including CISO, CIO, and CTO, and executives to ideate, build, and execute cybersecurity capability maturationAbility to collaborate with project and proposal teams to incorporate and develop high-quality implementation plans and roadmapsSecret clearanceHS diploma or GEDNice-to-haves

Experience with product selection initiatives, including A&O, AI, ana

Microsoft is at the forefront of AI innovation, tackling some of the most complex and significant AI challenges of our time. Our vision is ambitious-to deliver systems with genuine artificial intelligence capabilities across agents, applications, services, and infrastructure. The Security Engineering team within MAI ensures our advancements in AI are secure and trustworthy. We integrate robust security measures directly into our platforms, enabling secure and efficient incorporation of external data and services without compromising safety or privacy. We are looking for a Principal Security Engineer to lead security assessments and testing both internally and with external partners. Your role will ensure that Copilot and its integrations operate atop a robust security model that mitigates threats such as indirect prompt injection, unauthorized dataflows, and privacy breaches. Microsoft\'s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities: Lead comprehensive risks assessments, including automated risk identification, controls validation, and threat modeling across networking, operating systems, and application layers. Identify security best practices, risks, and align remediations to vulnerabilities to drive remediation efforts effectively. Proactively identify and help remediate security risks through code and configuration changes. Collaborate closely with partner teams, facilitating their velocity by addressing and resolving underlying security issues. Develop and maintain metrics to measure security impact, reliability at both tactical and strategic levels. Provide security mentorship, fostering a culture of proactive security

The Cloud Security Specialist is a senior technical and leadership position responsible for implementing, managing, and continuously improving cloud security across multi cloud environments including AWS, Azure, Google Cloud, and Oracle Cloud Infrastructure (OCI).

This role combines hands on technical execution with team leadership. The successful candidate will lead a team of cloud security engineers, develop secure architectures, and manage enterprise grade cloud security solutions such as Cloud Security Posture Management (CSPM), Cloud Workload Protection (CWP), Container Security, API Security, and AI Security Posture Management (AISPM).

The individual will partner with cloud service, DevOps, and application teams to design secure deployments, enforce policies, and integrate automation for vulnerability remediation, threat detection, and compliance. They will also implement secure private connectivity between cloud and on premise networks using technologies such as AWS PrivateLink and Azure ExpressRoute.

Mission Statement:

Consolidated Edison Company of New York, Inc. (Con Edison), Orange & Rockland Utilities (O&R), and Consolidated Edison Transmission (CET) employees are required to follow health, safety, and environmental policies, EEO, Standards of Business Conduct, and all other applicable company policy and procedures. We all share a responsibility to advance the company's mission by excelling at our three corporate priorities - safety of our people and the public, operational excellence in all that we do, and ensuring the best possible customer experience.

Benefits:

We are dedicated to supporting the physical, mental, and financial health of our employees and their families. This commitment extends beyond the workplace to foster personal growth and holistic wellbeing. Our life-changing rewards package includes:

Rich medical & pharmacy benefits, including vision benefits Dental benefits Health Savings Accounts Health Care and Depend

About the position

Purpose of the role To drive technical excellence and innovation by leading the design and implementation of robust software solutions, providing mentorship to engineering teams, fostering cross-functional collaboration, and contributing to strategic planning to ensure the delivery of high-quality solutions aligned with business objectives. Accountabilities Provision of guidance and expertise to engineering teams to ensure alignment with best practices and foster a culture of technical excellence. Contribution to strategic planning by aligning technical decisions with business goals, anticipating future technology trends, and providing insights to optimize product roadmaps. Design and implementation of complex, scalable, and maintainable software solutions, considering long-term viability and business objectives. Mentoring and coaching to junior and mid-level engineers to foster professional growth and knowledge sharing, elevating the overall skillset and capabilities of the organization. Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development. Innovation within the organization by identifying and incorporating new technologies, methodologies, and industry practices into the engineering process. Director Expectations To manage a business function, providing significant input to function wide strategic initiatives. Contribute to and influence policy and procedures for the function and plan, manage and consult on multiple complex and critical strategic projects, which may be business wide.. They manage the direction of a large team or sub-function, leading other people managers and embedding a performance culture aligned to the values of the business. Or for an individual contributor, they lead organisation wide projects and act as deep technical expert and thought leader, identifying new ways of workin

A technology consulting company in Denver is seeking a Data/AI Engineer for a hybrid role. You will join a team launching a new Spatial AI practice, building production-grade AI agents for internal service teams. The ideal candidate will have experience in backend services, familiarity with cloud-based data systems, and exposure to LLM tooling. This position offers competitive compensation and the opportunity to work at the intersection of AI, data engineering, and geospatial intelligence.

Software Engineer (Security Automation & Integration) Join to apply for the Software Engineer (Security Automation & Integration) role at SHEIN Technology LLC Software Engineer (Security Automation & Integration) Join to apply for the Software Engineer (Security Automation & Integration) role at SHEIN Technology LLC Get AI-powered advice on this job and more exclusive features. About SHEIN SHEIN is a global online fashion and lifestyle retailer, offering SHEIN branded apparel and products from a global network of vendors, all at affordable prices. Headquartered in Singapore, with more than 15,000 employees operating from offices around the world, SHEIN is committed to making the beauty of fashion accessible to all, promoting its industry-leading, on-demand production methodology, for a smarter, future-ready industry. About SHEIN SHEIN is a global online fashion and lifestyle retailer, offering SHEIN branded apparel and products from a global network of vendors, all at affordable prices. Headquartered in Singapore, with more than 15,000 employees operating from offices around the world, SHEIN is committed to making the beauty of fashion accessible to all, promoting its industry-leading, on-demand production methodology, for a smarter, future-ready industry. Position Summary SHEIN Global Security and Risk Management (GSRM) is a global security organization that oversees security infrastructure, risk management, data privacy, business fraud, governance, and regulatory compliance across SHEIN’s global footprint. It is composed of a team of security professionals, innovators and thought leaders that have had decades of global security experience, led large scale transformations, and served in Fortune 500 executive roles. We\'re seeking an experienced and motivated Software Engineer (Security Automation/Integration) (Official title: Software Engineer I) for our Los Angeles-based corporate office. We are at the forefront of innovation, designing advanced cloud

*Role Overview**
Framework Security is seeking an experienced
*AI Automation & Security Systems Engineer**
to design and deploy AI-powered systems across our cybersecurity services, internal operations, and go-to-market efforts.
This role sits at the intersection of
*cybersecurity engineering, AI automation, and technical solution architecture**
. You will build autonomous systems that improve security testing, streamline internal workflows, and increase the efficiency of our revenue-generating operations.
We are particularly interested in engineers with hands-on experience building AI agents and autonomous workflows, including frameworks such as OpenClaw and similar agent-based architectures.

*Key Responsibilities**
AI Agent Architecture & Development
Design, build, and maintain*AI agent systems**
that automate workflows across security, marketing, and internal operations.
Deploy and manage agents using*OpenClaw and other emerging agent frameworks**
.
Architect multi-agent systems capable of orchestrating complex tasks across internal systems and external tools.
Automated Security Testing
Develop AI-driven automation to assist with*penetration testing, vulnerability analysis, and security validation**
.
Build agent-based workflows that support*automated reconnaissance, vulnerability triage, and security analysis**
.
Integrate AI systems with existing security tooling to improve efficiency and scalability.
Internal Systems & Marketing Automation
Design AI-driven automation that integrates with business systems such as*HubSpot, Asana, and Google Workspace**
.
Build tools that improve*marketing efficiency, lead engagement, and sales enablement**
.
Architect internal automation systems that reduce operational overhead across the organization.
Pre-Sales Technical Support
Support the sales team during*technical pre-sales conversations**
.
Design solution architectures that demonstrate how AI-driven security automation solves customer challenges.Develop prototypes, demo

**Job Summary**
General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems.

Under general supervision with limited review, this position independently determines approaches/solutions for the design, development and/or modification of specific programs or projects for enterprise-wide end-user, system level, and data management software applications. Involved in planning of application development and deployment as well as responsible for meeting software compliance standards on specific programs or projects. Evaluates integration of software applications with the overall computing environment; responsible for documentation, testing, maintenance, and software updates. Communicates with domain experts, outside customers, users, and management throughout the software development lifecycle.

**DUTIES & RESPONSIBILITES:**
- Design data pipelines and AI/ML engineering infrastructure to support enterprise level operationalization of machine learning systems
- Work as part of an interdisciplinary team to productionize AI/ML models for air-to-air and air-to-ground combat operations
- Develop and deploy scalable tools and services for rapid AI/ML training and inference at the edge
- Identify and evaluate new technologies to improve performance, maintainability, and reliability of machine learning systems
- Apply robust software engineering best practices to machine learning ecosystem, including CI/CD, automation, etc.
- Support stable and repeatable model development, with an emphasis on traceability, version control, adversarial robustness and data security
- Help develop and deploy proof-of-concept machine learning systems to the warfighter
- Communicate with stakeholders to develop roadmaps and implementation schedules
We recognize and appreciate the value and contributions of individuals wit

Ready to be pushed beyond what you think you’re capable of?

At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.

To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems.

Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be.

While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.

On the Money Movement team, we’re building the core infrastructure for stablecoin-based payments, enabling fast, secure, and scalable transfers across borders and platforms. This work underpins how value moves across the Coinbase ecosystem and beyond.

As a Senior Software Engineer on the CDP Payment Risk team, you will design, build, and scale the real-time risk infrastructure that protects Coinbase’s developer payment flows — including fraud detection and transaction scoring across multi-currency, cross-border payouts. Beyond core backend engineering, this role requires hands-on ownership of ML systems: developing risk models, data pipelines, and integrating state-of-the-art LLM a

About Sei

Sei Labs builds open sourced technology for the high-performance Sei Blockchain, the first parallelized EVM Layer 1 blockchain designed to scale with the industry. The unique optimizations built into Sei enable Web3 applications to reach Web2 level scale and performance, driving the mass adoption of digital assets.

The Sei Labs team is comprised of former Google, Goldman Sachs, Robinhood, Nvidia, and Databricks veterans dedicated to onboarding the next billion users onto a vibrant ecosystem of applications.

Sei Labs has raised over $30M from top investors including Jump Crypto, Multicoin Capital, Coinbase Ventures, Distributed Global, Hudson River Trading, and Flow Traders.

We're a globally distributed team with a fully remote workforce. Check out our website and docs for more details.

Solidity Engineering at Sei

Sei Labs is looking for a Solidity / Smart Contracts Engineer to help shape the future of Web3 by building innovative, high-impact applications across the Sei Blockchain. You’ll work with a team at the forefront of blockchain technology, collaborating closely with our ecosystem partners to develop cutting-edge dApps spanning diverse Web3 domains (from DEX’s and games, to DePin AI and beyond). If you're passionate about constant learning, rapid development, and making a tangible impact in a fast-paced, community-first environment, this is a unique opportunity to push the boundaries of what's possible in decentralized technology.

ResponsibilitiesDevelop and deploy secure smart contracts using SolidityCollaborate on DApp development and integration on the Sei NetworkStay current on blockchain technology and provide technical insightsWrite clean, well-documented, and secure codeMonitor smart contract health and implement security alertsCollaborate across Protocol and Ecosystem teams in solving technical issuesRequirements2+ years of Solidity experienceExperience building dAppsDeployed multiple smart contracts on an EVM compatible chain or E

Cryptography Engineer

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

We’re seeking a future team member for the role of Cryptography Engineer to join our Cybersecurity team. This role is in Lake Mary, FL or Pittsburgh, PA.

In this role, you’ll make an impact in the following ways:

Implement and support cryptography and Public Key Infrastructure (PKI) solutions across the BNY Enterprise.
Build, integrate, and support a Cryptographic Asset Management Platform to enable the move to Post-Quantum Cryptography (PQC).
Partner with cross-functional teams to determine cryptography and certificate use cases.
Integrate digital certificates with the Certificate Lifecycle Management platform.
Create architecture, system build, procedures, and knowledge articles documentation.
Respond to requests from users, Internal Audit, and Federal Regulators on BNY PKI.

To be successful in this role, we’re seeking the following:

Bachelor’s degree in cybersecurity or related fields.
Certifications: CISSP.
5+ years of experience installing and supporting cryptographic solutions.
Knowledge and hands-on experience with the following:

HSMs and Key Management Systems (KMS).
Certificate Lifecycle Management platforms.
Automation of certificate and cryptographic key services.

Knowledge of the following:

If you are looking for a game-changing career, working for one of the world's leading financial institutions, you've come to the right place.

As a Principal Software Engineer at JPMorgan Chase within the Corporate Sector - AI/ML Data Platforms team, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to promote best-in-class outcomes across various technologies to support one or more of the firm's portfolios.

Job responsibilities

+ Build AI enabled consumer centric and business use-case products using LLMs, RAG, Agents

+ Design, develop software solutions, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.

+ Develops secure high-quality production code, and reviews and debugs code written by others.

+ Develops innovative AI/ML solutions for the LLM Suite platform utilizing public cloud architecture and modern standards, specifically with Azure, AWS using both commercial and open source models

+ Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies.

+ Influences leaders and senior stakeholders across business, product, and technology teams

+ Creates durable, reusable software frameworks that are leveraged across teams and functions.

+ Adds to team culture of diversity, equity, inclusion, and respect.

Required qualifications, capabilities, and skills

+ Formal training or certification on software engineering concepts and 10+ years applied experience

+ Hands on experience of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.

+ Hands-on experience delivering system design, application developme

Principal Platform Engineer | AI Infrastructure | San Francisco | $350k Base + Significant Equity

One of the most exciting AI companies in the market is hiring a Principal Platform Engineer to build the infrastructure powering autonomous AI agents conducting real scientific research.

This is a rare chance to own the compute backbone of a rapidly scaling platform at the intersection of AI, distributed systems, and scientific discovery.

What You’ll Own:

Massive Kubernetes clusters running persistent workloadsCRDs, Operators, orchestration systemsGPU-heavy heterogeneous compute environmentsTerraform / modern infrastructure automationPlatform architecture at true foundational scale

Ideal Background:

Deep Kubernetes production expertiseOperator / controller developmentStrong systems engineering in Go or PythonStartup ownership mentality

Details:

San Francisco (onsite)Base salary $350,000 + meaningful equityHigh-growth, venture-backed environment

If you’ve built real infrastructure at scale and want frontier-level impact, message me directly.

Description
Why YOU want this position

At Enverus, we’re committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world.

We are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights, we’re helping our customers make better decisions that help provide communities around the world with clean, affordable energy.

The energy industry is changing fast. But we’ve continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power and utilities, to oil and gas and financial institutions. Our solutions create more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing, and help reduce costs by automating crucial business operations.

Of course, this wouldn’t be possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds.

Are you ready to help power the global quality of life? Join Enverus, and be a part of creating a brighter, more sustainable tomorrow.

The Team
You will join a dynamic Data Delivery team responsible for the timely, safe, and secure delivery of core Enverus datasets. This team supports data delivery to multiple complex applications, including Prism, our flagship application.

Performance Objectives

Validate changes to datasets against acceptance criteria provided by Product Owners and Development SMEs.

Design, implement, and maintain automated test cases for data-driven software products, with mentorship from senior team members.

Log and track issues when software behavior deviates from expected outcomes.

Review feature requirements and provide actionable feedback to improve quality and clarity.

Requisition Number: 73416 The company built on breakthroughs. ​  Join us.​  Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.  ​  How do we do this? With our people. They break through limitations and expectations – not once in a career, but every day. They help move our company, and the world, forward. ​  ​At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.​   ​Come break through with us.  The global Information Technology (IT) Function is leading efforts to align IT and Business Strategy, leverage IT investments, and optimize end to end business processes and associated information integration technologies. Through these efforts, IT helps to improve the competitive position of Corning's businesses through IT enabled processes. IT also delivers Information Technology applications, infrastructure, and project services in a cost efficient manner to Corning worldwide.Role Purpose The Information Security Automation Engineer will initially report to Corning’s Chief Information Security Officer, but it is expected to change as we mature in the data and AI space. This position will support and advance our security posture across data- and AI-driven initiatives. This role is ideal for a professional who is eager to work at the intersection of information security, data governance, and artificial intelligence. In this role, you will help secure data pipelines, AI models, and platforms while also contributing to the development and deployment of AI-powered security solutions, including AI agents that automate or enhance security processes.

We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose.

When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose.
When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.

GEICO is seeking a Senior Engineer, Applied AI to help shape how Generative AI enhances customer and associate experiences across the enterprise. This is a hands-on technical role for someone with strong Java development expertise, a passion for AI technologies, and a proven ability to deliver scalable, production-ready AI systems.
You will work alongside engineering teams, data scientists, and product leaders to design, build, and integrate AI-powered capabilities that automate workflows, improve decision-making, and elevate user experience. You will contribute to a culture of learning, curiosity, and innovation while growing your expertise in cutting-edge AI technologies.

What You Will DoDesign, develop, and maintain scalable, high-performance microservices using Java (version 21+) and Spring Boot (3.4.x) to power AI-enabled applications.Contribut

AI-First QA Automation Engineer, Mobile DocuSketch is a leading software solution provider for the restoration, property insurance, and real estate industries in North America. Our cutting-edge digital platforms enable restoration companies, adjusters, and insurers to efficiently document, manage, and process property claims. Driven by a loyal customer base, DocuSketch has become one of the fastest-growing technology companies in the proptech sector.
Our headquarters are in Potsdam, Germany, with large teams in the US, Canada, and Serbia. We are currently undergoing an exciting Al-First transformation and a strategic migration to Kotlin Multiplatform / Compose Multiplatform, enabling us to build once and deploy to both iOS and Android, while maintaining native look and feel on iOS.

Role Overview
As an AI-First QA Automation Engineer (Mobile), you will be instrumental in ensuring the quality and reliability of the next generation of mobile applications for restoration professionals working in the field. You will build and maintain comprehensive test automation frameworks using WebdriverIO/Appium for cross-platform mobile testing and Playwright for web testing, working closely with our mobile development team during our greenfield application rewrite.
This role combines deep mobile testing expertise with an AI-first approach to test development and maintenance. You will work in a cross-functional AI-First squad, leveraging AI tools to accelerate test creation, maintenance, and analysis while ensuring our applications deliver exceptional user experiences in challenging field conditions and maintaining high quality standards across iOS and Android platforms.

Your responsibilities:
Mobile Test Automation — 60% Design, develop, and maintain automated test suites using WebdriverIO/Appium for iOS and Android applications Build robust, maintainable test frameworks that support our Kotlin Multiplatform / Compose Multiplatform architecture Implement cross-platform test stra

A company is looking for a Full Stack Engineer with AI expertise.

Key Responsibilities

Design, develop, and enhance scalable cloud-native applications using AI-driven development approaches

Collaborate with cross-functional teams to analyze requirements and optimize system configurations

Ensure system reliability and performance through effective testing, documentation, and deployment practices

Required Qualifications

5+ years of experience in full stack development

Strong hands-on experience with AWS services including Lambda, DynamoDB, and S3

Proficiency in backend frameworks such as Spring and AWS SDKs

Experience developing user interfaces using the React framework

Demonstrated expertise in testing frameworks, particularly JUnit

About iBusiness

iBusinessis a leading financial technology company transforming the way banks, credit unions, and lenders innovate. As apioneerinsecureAI, automation, and AI software development,iBusinessbuilds infrastructure and platforms that empower financial institutions to modernize faster-without sacrificing compliance or security. Its technologyenablesseamless digital transformation across lending, banking, and customer experience systems, giving institutions the tools to compete and innovate at enterprise scale.

Join us and be part of a team that's transforming the finance industry and empowering businesses to thrive!

Position Description

We are seeking an experienced expert AI Knowledge Data Engineerto design, implement, and scale state-of-the-art AI systems that combine large language models (LLMs), advanced retrieval techniques, cognitive memory architectures, including knowledge representation, and data fusion. In this role, you will orchestrate robust data pipelines, architect scalable training data solutions, and build the foundational knowledge bases that power next-generation AI agents. You will collaborate with cross-functional teams to ensure our systems efficiently retrieve, contextualize, and generate accurate information for diverse business applications.

Major Areas of Responsibility

Architect, implement, and optimize retrieval-augmented generation (RAG) workflows by integrating local LLMs (e.g., Llama) with retrieval mechanisms (vector search, Elasticsearch, FAISS, Weaviate).Design, build, and maintain scalable data pipelines for ingesting, transforming, indexing, and retrieving structured and unstructured data from diverse sources.Design, build, and scale addressable services and tools specifications that can be leveraged by LLMs and Agents to orchestrate workflows.Orchestrate and scale training data operations, including data curation, versioning, and lineage tracking for large-scale LLM training and fine-tuning.Develop and m

Overview of the Role:

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.

As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.

Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.

We are seeking a highly skilled and experienced Senior AI/ML & Agentic AI Engineer with a robust background in Python, Java, database technologies, cloud platfor

We Are:At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

You Are:You are a seasoned cybersecurity professional with a deep passion for automation and orchestration in security operations. With over a decade of hands-on experience, you thrive at the intersection of advanced technology and practical security challenges. You excel at architecting scalable, resilient frameworks that not only detect threats but also enable rapid response and learning. Your expertise spans SOAR, SIEM, EDR/XDR, cloud environments, and you are fluent in integrating complex systems through APIs and advanced scripting. You are energized by emerging AI/LLM technologies and have a proven track record of applying them to real-world security workflows, driving efficiency and elevating threat detection and response. As a technical mentor and thought leader, you inspire teams to embrace automation and rigor, fostering a culture of innovation and continuous improvement. You communicate effectively with both technical and executive audiences, translating intricate security concepts into actionable strategies that align with business priorities. You are collaborative, proactive, and always on the lookout for new ways to strengthen security posture against evolving threats. Your curiosity and drive ensure you stay ahead in the rapidly changing cybersecurity landscape, and your commitment to excellence makes you a trusted partner across cross-functional teams.

What You’ll Be Doing:Owning and defining the end-to-end automation and orchestration strategy for Security Operations, covering detection, triage, investigation, containment, remediation, and post-in

About Mistral

At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.

We are a dynamic, collaborative team passionate about AI and its potential to transform society.

Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.

Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.

About The Job

Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.

The Applied AI Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations.

In this role, you’ll manage daily customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalising our research in production settings.

What you will do

• You’ll be responsible for onboarding customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces.

• You’ll work

About BasisBasis is a nonprofit applied AI research organization with two mutually reinforcing goals.

The first is to understand and build intelligence. This entails establishing the mathematical principles of reasoning, learning, decision-making, understanding, and explaining, and constructing software that embodies these principles.

The second is to advance society’s ability to solve intractable problems. This involves expanding the scale, complexity, and breadth of problems we can solve today and, more importantly, accelerating our ability to solve problems in the future.

To achieve these goals, we are building both a new technological foundation inspired by human reasoning, and a new type of collaborative organization that prioritizes human value.

About the RoleWe’re seeking Software Engineers to develop scalable systems that integrate large language models (LLMs) with our everyday operational workflows. This role involves designing and deploying automated “pipelines” for tasks like recruiting, finance, and project management—often powered by GPT, Claude, or similar LLMs. We’re flexible on your arrangement: we’re hiring contractors, part-time, or full-time teammates.

Core ResponsibilitiesArchitect and maintain automation pipelines combining internal tools with GPT/Claude and other LLMs

Integrate data across third-party APIs (e.g., ATS platforms, Slack, Google) into unified, automated workflows

Leverage structured generation (JSON schemas, function calling, etc.) to ensure robust, correct LLM outputs

Collaborate with Ops and R&D to identify high-impact automation opportunities

Write production-grade code, with emphasis on modularity, reliability, and error handling

Deploy, scale, and optimize your solutions in a secure, cloud-based environment

Document solutions for both technical and non-technical audiences, ensuring easy updates and maintenance

Qualifications and AttributesWe’re looking for individuals who:

Have experience programming in Julia and/

Agentic AI Machine Learning Engineer
The Opportunity:

As an experienced machine learning engineer, you understand good software is more than just a good user experience. To compete in today's technical landscape, mission-oriented machine learning solutions must be architected, designed, and built to handle fast-moving data, to seamlessly scale with infrastructure based on system usage, and to expand based on evolving mission requirements. We're looking for an engineer like you to create artificial intelligence (AI) and machine learning (ML) enabled solutions that help solve our toughest challenges facing the Defense and Intelligence sectors.

On our team, you'll design, create, and implement complete AI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems. You'll ensure that your team's solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Additionally, you'll deepen your skill set in areas like software engineering, machine learning operations (MLOps), and software deployment and integration into a variety of different mission environments.

Ready to transform the Defense and Intelligence sectors with software systems to aid data accessibility and AI and ML operationalization?

Join us. The world can't wait.

You Have:
3+ years of experience as a ML engineer and building production-grade ML solutions, including work involving LLMs, agents, or complex automation frameworks3+ years of experience working within data science or data research in a professional or academic environment, and training or deploying models across multiple modalities of data3+ years of experience working in cloud environments, including AWS and Azure2+ years of experience deploying and integrating production-grade ML models using tools, such as Docker and KubernetesExperience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools

Responsibilities
Peraton Labs is seeking a Senior Systems Engineer to define, integrate, and mature the technical foundations of an Agentic AI platform that enables rapid development of secure, AI-powered applications through natural language interfaces, agent builders, and mission-level workflow orchestration.

This role will help bridge product vision, user needs, platform architecture, software implementation, and operational deployment. The ideal candidate will bring strong systems engineering experience with the ability to define requirements, decompose complex problems, align multi-disciplinary teams, and ensure that Agentic AI capabilities are implemented as part of a coherent, scalable, and secure system.

This position is especially well suited for someone who can operate across architecture, integration, technical planning, mission workflows, and end-to-end system behavior in emerging AI-enabled environments.

Key responsibilities may include, but are not limited to:

Design, decompose, and manage system requirements for an Agentic AI platform spanning user interaction, orchestration, platform services, AI enablement, security, and mission integration
Support end-to-end system design across front-end backend, agent orchestration, data flows, access control, and supporting platform services
Translate product objectives and mission use cases into actionable technical requirements, interfaces, workflows, and engineering priorities
Develop system-level architecture views, interface definitions, integration concepts, and functional decomposition for platform capabilities
Partner closely with software engineers, AI/ML researchers, product stakeholders, and platform engineers to ensure technical alignment across system components
Analyze and define workflows involving human users, agents, models, tools, external data/services, and system guardrails
Help establish technical approaches for agent orchestration, context handling, tool integrat

Who We Are Maybern is transforming the way private fund managers effectively manage their funds through cutting edge technology. Maybern is founded by top engineering experts with deep knowledge of the fund management space.

Private funds manage $15T in capital and are growing at 20% YoY, but with increasing regulatory scrutiny and investor demands for transparency, the need for world class software to help private fund CFOs is crucial.

This is where Maybern comes in.

We are equipping fund managers with intuitive, flexible fund management software, enabling private investment managers to focus on what they do best: driving returns for their investors. We are backed by leading venture capital firms and a large number of strategic investors.

Maybern is an NYC based company with a strong in-office culture to drive collaboration, and we are looking to make strong additions to our team.

What We’re Looking ForWe are looking for a Senior or Staff Product Engineer to build our implementation engineering function from the ground up. This role requires independence, cross-functional collaboration, and, later on, a deep understanding of the Maybern product and client onboarding. You’ll work closely with our internal implementations team to understand the systems through which they process years of customer data to onboard new customers to the Maybern platform. You’ll dig through complex problems, collaborate with our internal AI team to build automations on shared infra, and deliver technical solutions to revenue-impacting problems.

This role is critical to Maybern’s success and highly quantifiable: faster, smoother implementations mean faster value for our customers and faster revenue capture for us. Depending on seniority and fit, this role can offer a clear path to team management.

We’re primarily looking for a strong, startup-minded, lead product engineer. As AI tooling accelerates each day, you’ll be empowered and expected to incorporate AI directly into the oper

Job Description Base 2 Solutions is seeking an AI/ML Engineer responsible for building, training, fine tuning, and evaluation advanced language models. The ideal candidate will have hands on experience with state of the art machine learning techniques, specifically for natural language processing (NLP), and will also have a strong understanding of full stack development. This person will work across the model development lifecycle and collaborate with cross functional teams to deliver high impact solutions. Required Skills Technical Skills: Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face Expertise in model training, evaluation, and deployment Hands on experience with AWS tools like SageMaker, Lambda, EC2, and S3. Experience in developing full stack software applications (JavaScript, Python, Java, etc.) Solid understanding of data structures, algorithms, and system design Experience & Background: Extensive experience in machine learning model development, including natural language processing (NLP) Experience with model evaluation, optimization, and performance monitoring Prove experience in software engineering with strong coding skills Experience working in a government or defense related environment is highly preferred Additional Skills: Experience with model versioning and management using tools such as MLFlow or Git Familiarity with containerization tools (i.e. Kubernetes) Strong problem solving and analytical skills Excellent communication and collaboration abilities Qualifications Two (2) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required. A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university. Five (5) additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree. Experience with standard mac

About the position

Position Overview: Red Arch Solutions is hiring a Systems Engineer to join a priority program in Annapolis Junction, Maryland. The ideal candidate will have high-level knowledge of the AI lifecycle and general experience with ML pipeline development, model deployment, and DevOps/MLOps. Position Description: Analyzes user’s requirements, concept of operations documents, and high-level system architectures to develop system requirements specifications. Analyzes system requirements and leads design and development activities. Guides users in formulating requirements, advises alternative approaches, and conducts feasibility studies. Provides technical leadership for the integration of requirements, design, and technology. Incorporates new plans, designs and systems into ongoing operations. Develops technical documentation. Develops system Architecture and system design documentation. Guides system development and implementation planning through assessment or preparation of system engineering management plans and system integration and test plans. Interacts with the Government regarding Systems Engineering technical considerations and for associated problems, issues or conflicts. Ultimate responsibility for the technical integrity of work performed and deliverables associated with the Systems Engineering area of responsibility. Communicates with other program personnel, government overseers, and senior executives.

Responsibilities

Analyzes user’s requirements, concept of operations documents, and high-level system architectures to develop system requirements specifications.Analyzes system requirements and leads design and development activities.Guides users in formulating requirements, advises alternative approaches, and conducts feasibility studies.Provides technical leadership for the integration of requirements, design, and technology.Incorporates new plans, designs and systems into ongoing operations.Develops technical documentation.Develops sys

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward!We are looking for a highly motivated and skilled Data Scientist/AI Specialist to join our innovative team in the Annapolis Junction, MD area.

The ideal candidate will possess a strong background in programming, statistical analysis, machine learning, and data preparation, ensuring effective data analysis and informed decision-making.

What you'll do:

Develop and implement data-driven solutions using programming languages such as Python and RConduct statistical analyses, including regression, hypothesis testing, and distribution analysis, to interpret data accuratelyDesign and train machine learning models using frameworks like TensorFlow and Scikit-Learn for predictive analytics and automationPerform data wrangling to clean and organize raw datasets, making them ready for meaningful analysisCollaborate with cross-functional teams to understand business needs and deliver actionable insightsWhat you'll need:

14 years of experience in software engineering in similar programs and contracts utilizing programming languages such as: C++, Python, or Go LangBachelor's degree in Systems Engineering, Computer Science, Computer Engineer, or a related field 4 years of relevant experience can substit

Job Details:

Job Description: About the role

As an AI Software Engineer - Agentic AI System you will contribute to building infrastructure and tooling that supports an endtoend evaluation ecosystem for agentic AI frameworks. This role is ideal for engineers who are eager to grow their skills across deployment, data, and AI systems while working closely with experienced engineers.

This is a handson engineering role for individuals who enjoy learning new systems quickly, working across multiple layers of the stack, and contributing where the team needs them most.

Key Responsibilities

Build and maintain scalable deployment and orchestration systems for AI workloadsDevelop data pipelines, dashboards, and observability toolingIntegrate and evaluate AI agent frameworks and modelserving systemsDesign and automate evaluation pipelines for performance, reliability, and regression detectionCollaborate with global engineering teams to improve AI evaluation tooling

What Success Looks Like

Quickly ramping up across different focus areas and contributing independentlyReliable deployment and evaluation of AI agent frameworksClear, actionable dashboards and reports for stakeholdersStable, welltested, and automated evaluation pipelinesEffective collaboration with internal and external engineering partners

Intel invests in our people and offers a complete and competitive package of benefits employees and their families through every stage of life.

See Intel Benefitsfor more details.

Qualifications:You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Note:

For information on Intel's immigration sponsorship guidelines, please see

Intel U.S. Immigration Sponsorship Information

Minimum Qualifications and Experience:

Bachelor's degree (B.S. or B.A.) in Computer Science, Electrica

Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Millennium Corporation Senior Technical Recruiter, Millennium Corporation Millennium Corporation is hiring a DevSecOps Engineer in West Mifflin, PA . Qualified candidates must have an active Top-Secret or DoE Q clearance. Architect, monitor, and maintain Microsoft Azure cloud-based solutions Leverage IaC techniques to maximize consistency, modularity, and security Utilize automation tools to deploy and manage infrastructure consistently across multiple environments Communicate and write clearly and concisely about technical topics Implement automation practices to improve the efficiency of services and operations Work effectively within a team environment Requirements: Must have an active Top-Secret clearance or DoE Q clearance Bachelor's degree and a minimum of 6 years of experience (can be waived) Prior experience in automating, deploying, monitoring, and maintaining cloud-based solutions In-depth knowledge of DevSecOps tools and techniques Experience with cloud networking, governance, and security Seniority level Associate Employment type Full-time Job function Information Technology Referrals increase your chances of interviewing at Millennium Corporation by 2x Note: This job posting appears to be active; no expiration indicators found. #J-18808-Ljbffr

Penetration Tester

Overview

We are seeking a Penetration Tester to design, coordinate, and execute a modern, scalable penetrationtesting program. This role will unify penetrationtesting activities across network, application, and cloud environments, ensuring consistent execution, standardized reporting, and alignment with enterprise security and riskmanagement objectives.

The Pen Tester will also guide the integration of automated and AIassisted testing capabilities into the organization's Agentic AI architecture, improving speed, accuracy, and repeatability of offensive security operations.

You Will:

Program Leadership & Governance
• Consolidate adhoc penetrationtesting efforts into a unified enterprise pentesting program with standard methodologies, processes, and reporting.
• Establish and maintain Rules of Engagement (ROE) for all testing activities, defining scope, communication protocols, safety constraints, escalation paths, and evidencehandling guidelines.
• Coordinate and supervise all test execution activities, including internal teams, contractors, and thirdparty assessors.

Technical Execution & Delivery
• Plan and execute network, application, and cloud penetration tests under the approved ROE.
• Combine manual tradecraft with AIassisted offensivesecurity tooling to increase depth and coverage of assessments.
• Produce detailed evidence packages, exploitation artifacts, and findings reports that support remediation and rootcause analysis.
• Work with product teams, system owners, and DevSecOps/Cloud teams to validate findings and retest fixes.

Tooling & AI Integration
• Integrate penetrationtesting tools, automation frameworks, and exploitdevelopment workflows into the Agentic AI security architecture.
• Recommend tooling enhancements, AIdriven analysis approaches, and automation opportunities.

Risk & Vulnerability Management
• Conduct technical risk assessments across systems to determine likelihood, impact, and exploitation feasibility.
• Analy

Awardco is reimagining the workplace to be more rewarding, supportive, and fun for everyone. As one of the fastest-growing companies in the employee experience industry, our mission is to help employees love what they do, love where they work, and get recognized for their efforts—especially our own employees! And as winners of Glassdoor's Best Places to Work, Best in Brightest in the Nation, and Great Place to Work, we do much more than talk the talk.

We're looking for an Application Security Engineer joining our IT & Security team to build and mature our application security program as we continue to scale our SaaS platform. In this role, you'll partner closely with product, engineering, and operations teams to design, build, and ship secure features — without slowing down creativity and innovation. You'll own the secure software development lifecycle, lead security reviews for new capabilities, and help drive a culture where every engineer treats security as part of quality.

You'll also play a key role in enabling developers, building the skills and tooling they need to own security in their code through secure coding guidance, training, and a strong Security Champions program. If you enjoy rolling up your sleeves, solving real-world security problems, and making cloud products safer by design, this role is for you.

What you will do:
• Embed security checkpoints into planning, design, development, testing, and release processes.
• Partner with engineering leads to ensure new features ship with security built in, not bolted on.
• Facilitate threat modeling for new services, APIs, and integrations.
• Recommend secure patterns and architectures for multi-tenant SaaS and cloud-native components.
• Perform targeted secure code reviews for high‑risk features and components.
• Configure and tune SAST, DAST, dependency, and container scanning to reduce noise and highlight real risk.
• Integrate and optimize AI-assisted application security tools (e.g., GitHub Advanced

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Headway Tek Inc, is seeking the following. Apply via Dice today!
• *Role :**

Python Full-Stack Engineer -
• *Autonomous AI, Agent Automation, LLM VectorDB, LangChan, Multiagent
• *Location :

5 days onsite at Alpharetta, GA need local candidates only
• *Interview :**

Client Interview and 2 client interviews onsite at Alpharetta including Python leetcode related queries
• *Experience needed :**

8-15 years
• *Role Summary**

We are looking for a highly skilled
• *Python Full-Stack Engineer**

with hands-on experience in
• *OpenAI-based solutions, Co-Pilot frameworks, MCP, MKS environments**

, and
• *autonomous agent creation**

. This role will focus on building
• *AI-driven task automation, intelligent agents, and end-to-end full-stack solutions**

that accelerate business workflows and reduce manual effort.

The ideal candidate combines strong Python engineering fundamentals with
• *applied AI/LLM orchestration**

, system integration, and scalable automation design.
• *Key Responsibilities
• Design, develop, and deploy Python-based full-stack applications with AI-enabled capabilities
• Build and orchestrate autonomous AI agents for task execution, decisioning, and workflow automation
• Integrate OpenAI models for reasoning, summarization, classification, and agent coordination
• Implement Co-Pilot-style experiences to assist users with intelligent recommendations and actions
• Develop task automation pipelines leveraging agents, schedulers, and event-driven triggers
• Work within MCP and MKS environments to manage configurations, pipelines, and system controls
• Design APIs and backend services to integrate AI agents with enterprise systems
• Build scalable front-end interfaces (React or similar) for AI-driven user interactions
• Ensure security, governance, logging, and observability for AI-powered workflows
• Collaborate with product, architecture, and busines

About us

Our mission at Credal is to harness frontier AI for everyone building a better future.

We accelerate the most complex, sophisticated operations of the most impactful institutions, while weaving security and governance into every part of our product. Our customers include the U.S. Dept of Health and Human Services, MongoDB, Comcast NBC Universal, Lattice, Wise (Transferwise), Checkr, and incident.io among others.

We’ve raised over $10m to date with a ton of runway. You’ll join a team of Thoughtful Doers™ from places like Palantir, Cruise, Meta, Uber, and Google.

📍 Credal is in-person in our spacious NYC office with meals provided.

About the role

Forward Deployed Engineering (FDE) means embedding directly with organizations that rely on us, particularly those pursuing incredibly important missions in healthcare, tech, robotics, etc., to help them deliver critical outcomes and make our core product even better in the process.

FDE responsibilities look similar to those of a small startup CTO: you’ll work independently or in small teams and own end-to-end execution of high stakes projects. By joining Credal as an FDE, you are leapfrogging your rate of learning and impact on the world.

“Forward Deployed Engineering” was pioneered by Palantir: Credal’s founders and core team were top flight Palantir Forward Deployed Engineers and worked in some of the highest stakes engineering environments in the world (fun fact: our CTO wrote Palantir’s FDE job description!)

About you
• Much of Credal’s existing product has come out of learnings from customers! You think critically, creatively, and empathetically about what will really help our users and make our product better long term
• You’re technical, curious, analytical, and love coming up with the right product for users’ problems
• You’re a people person who loves working with leaders and end users alike, iterating on approaches and code to win
• You embrace real world complexity, messiness and ambiguity, versu

About The Team

The Agentic AI team at Zillow is at the forefront of transforming the real estate industry by helping millions of people use AI technologies to find their next home. We aim to redefine the home shopping and transaction experience by providing an always-on assistant that integrates deep user insights and sophisticated reasoning. By embedding domain knowledge and specialized expertise in these assistants, we empower home buyers and real estate professionals to gain efficiency while maintaining Zillow's competitive edge. This lean, customer-focused team comprises scientists and engineers working together to deliver a delightful customer experience. We strongly believe in accountability, collaboration, and transparency.

About The Role

Zillow is looking for a Principal Machine Learning Engineer on the Agentic AI team to develop advanced multimodal foundational technologies. They will be hands-on in prototyping ideas, evaluating, and deploying models to Zillow's highly scalable infrastructure platforms. They’ll be developing perception and language understanding, deep reasoning, and reinforcement learning to handle AI agent decision-making.

As a Principal Machine Learning Engineer on the Agentic AI team, you will:

Leverage frameworks like AgentSDK, and LangChain/LangGraph to design, prototype, and develop multi-agent systems that are capable of highly autonomous and context-aware interactions Leverage advanced GenAI models including reasoning models, real-time voice API, etc, to build agentic prototypes and later on convert them into product-level agentic skills and deploy to users. Have the mentality of “build, learn, and pivot”, and hold the high bar of shipping into production. Mentor and guide engineers in using the right technologies for agentic AI solutions and foster a culture of innovation and responsible AI usage Distill complex research findings and system designs into actionable insights for diverse audiences—including executives Remain o

About Cognizant’s Quality Engineering & Assurance Team

Our Quality Engineering & Assurance team is the innovative engine at our company. We are a dedicated group of builders and problem-solvers responsible for the most critical, customer-facing platforms. Within this team, the Quality practice is not a downstream function but a fully integrated partner in development. Our mission is to embed quality into every stage of the lifecycle, and as a Quality Engineer, you will be on the front lines of this effort.

Position Overview

Are you a driven Quality Engineer passionate about building the future of testing? We are seeking a creative and hands-on QE to be a key contributor to our quality practice. This is an exciting opportunity to move beyond traditional QA and dive into the world of AI-driven testing, helping us build and maintain robust quality standards for our mission-critical intelligent applications that are redefining customer interaction.

Key Responsibilities
• Design, develop, and maintain test automation frameworks using Java and Python. Write clean, efficient, and scalable automation scripts for new features to ensure robust test coverage across all deliverables.
• Perform API testing: Understand API concepts, develop and execute functional tests, interpret Swagger YAML files, and validate endpoints using Postman or Rest Assured automation frameworks.
• Conduct database testing: Write and execute SQL queries to retrieve, update, and delete data, ensuring database integrity and reliability.
• Own quality for assigned features and components: Collaborate with product managers and developers on requirements analysis, create detailed test cases, execute comprehensive test suites (functional, integration, regression), and provide final quality sign-off.
• Track and report testing progress: Use tools such as JIRA, ADO, or ALM for defect logging and reporting, ensuring transparency of feature quality to the team and stakeholders. Also understanding of CI/CD co

Pay Rate Range:$ 57.14- 58.82/hr.
REQUIREMENT_ID- 10631202

Role: Principal Software Development Engineer in Test (SDET)

Job Description:
Category - Senior
UI, Backend, Data Quality | Azure | Azure DevOps | AI-Driven Quality Engineering

Experience:
10+ years in SDET / Test Automation / Quality Engineering
Proven Principal-level influence across teams and platforms

About the Role:
We are seeking a Principal Software Development Engineer in Test (SDET) to lead and modernize quality engineering across UI, API, services, and data layers.
This is a hands-on and strategic leadership role, responsible for defining automation standards, building scalable test frameworks, enabling continuous testing in Azure DevOps, and embedding AI-assisted quality practices across teams.
You will partner closely with Engineering, Product, DevOps, and Business stakeholders to drive quality by design, reduce production risk, and ensure reliable, high-confidence releases in complex, data-driven systems-preferably within wealth management or financial services domains.

Key Responsibilities:
UI & Backend Automation Leadership
Architect, design, and maintain enterprise-grade automation frameworks for:
UI/Web applications (Playwright, Selenium, Cypress)
APIs and backend services (REST / GraphQL, microservices)
Establish automation best practices, coding standards, and framework guidelines
Embed automation into Azure DevOps CI/CD pipelines with robust quality gates
Drive test stability improvements, reduce flaky tests, and optimize execution time
Partner with engineering teams to improve testability, observability, and quality by design
Mentor and coach SDETs, raising the overall automation maturity of the organization
Data Quality & Backend Validation (Core Expectation)

Lead the design and automation of data quality validation frameworks across:
Databases
Data pipelines
System-to-system integrations
Validate and automate checks for:
Data completeness, accuracy, consistency, and reconciliatio

About the Role

Intraedge is seeking an experienced Cybersecurity Automation Engineer for its financial domain client. This role is focused on cyber data analytics and automation, playing a pivotal part in protecting enterprise data, infrastructure, and customer trust in a cloud-first, consumer-centric operating model.

The ideal candidate will bring deep technical expertise in automation, SIEM/SOAR, data pipelines, and AI/ML integration, working cross-functionally with IT Architecture, Engineering, DevOps, Security Operations, and business leadership.

Key Responsibilities
• Lead the design and implementation of modern cybersecurity architectures, automation tools, and scalable analytics solutions.
• Develop, deploy, and maintain automation strategies to streamline security operations and response workflows.
• Build advanced Splunk dashboards, queries, and visualizations to support threat detection and forensic investigations.
• Lead implementation and optimization of SIEM platforms (e.g., Splunk) to enhance threat detection and alert fidelity.
• Build and maintain SOAR playbooks to automate incident response actions and remediation processes.
• Continuously improve and expand SOAR integrations across security and IT tools.
• Design, train, and deploy AI/ML models for threat prediction, anomaly detection, and behavioral analytics.
• Integrate ML insights into SIEM/SOAR pipelines to augment analyst decision-making.
• Design, build, and maintain scalable ETL pipelines for security data ingestion, enrichment, and retention.
• Ensure data integrity, quality, and consistency across diverse data sources and pipelines.
• Optimize data workflows for performance, reliability, and scalability in cloud and hybrid environments.
• Lead in-depth analysis of complex incidents, correlating logs and threat intelligence to determine root cause and impact.
• Stay informed of emerging cybersecurity technologies, automation tools, and threat trends to drive innovation.

Required Qualif

Ready to be pushed beyond what you think you’re capable of?

At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.

To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems.

Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be.

While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.

The mission of the Platform Product Group engineers is to build a trusted, scalable and compliant platform to operate with speed, efficiency and quality. Our teams build and maintain the platforms critical to the existence of Coinbase. There are many teams that make up this group which include Product Foundations (i.e. Identity, Payment, Risk, Proofing & Regulatory, Finhub), Machine Learning, Customer Experience, and Infrastructure.

The Release team within Developer Experience is responsible for the systems and processes that allow the rest of Coinbase engineers to build and deploy software in a simple, safe and secure manner.

What you’ll be doing (i.e. job duties):
• Learn, build, improve, a

About Semiotic Labs

Take the next step in your career now, scroll down to read the full role description and make your application.
Semiotic Labs builds advanced Web3 infrastructure, autonomous agents, and cryptoeconomic protocols that power decentralized finance and data economies. As a core developer team for The Graph, Semiotic Labs is pioneering trustless, efficient, and scalable financial primitives.

Our suite of products includes:
• GraphTally a trust-minimized micropayment system for decentralized service providers.
• Allocation Optimizer: an Agent for dynamic stake distribution across subgraphs in The Graph.
• Dynamic Pricing Algorithm: Adaptive online query pricing for Indexers.
• Holographic Homomorphic Signature Scheme (H2S2): Cryptographic primitive aggregating signatures for efficient verification.
• State-Channel Micropayments (via GraphTally): Off-chain payments minimizing on-chain cost for low-value transfers.
• AutoAgora: AI-powered tool for query pricing and negotiation in The Graph.
• RL & Neural-Network Cost Prediction / zk-SNARK Enhancements AI-driven pricing, verifiable queries, and privacy-preserving proof mechanisms.

Role Overview

We’re seeking a Smart Contract Engineer (EVM-focused) to work across Semiotic Labs’ product suite. You will design and implement smart contracts, build scalable backend services, and develop data-driven dashboards. The work will touch on areas such as on-chain identity, agreements, micropayments, and DeFi logic, while integrating with advanced indexing and delegation mechanics within The Graph ecosystem.

Why Join Us
• Build foundational Web3 infrastructure with real-world DeFi and data economy impact.
• Contribute across multiple products: GraphTally, Allocation Optimizer, AutoAgora, and more.
• Collaborate with experts in AI, cryptography, and decentralized systems.
• Be part of an early, interdisciplinary team driving innovation in The Graph and beyond.

Logistics
• Compensation: Competitive ($170k – $250k) +

Overview
Are you ready to push beyond your limits? At Coinbase, our mission is to enhance economic freedom globally. This ambitious goal necessitates the best from us every day as we develop the on-chain platform and shape the future of the global financial system. We seek a unique candidate with a deep passion for our mission and a belief in the transformative power of crypto and blockchain technology.

We want individuals eager to make a significant impact, who thrive under pressure and relish collaboration with high-caliber colleagues. Feedback is a tool for growth here, and we encourage a proactive approach to tackling the company's most challenging problems. Our work culture is intense and may not suit everyone. However, if you aspire to build the future alongside talented individuals who expect excellence, this is the right place for you.

At Coinbase, security is not just a priority; it forms the foundation of all we do. In the rapidly evolving digital currency landscape, maintaining trust is crucial—security breaches can determine success or failure. That’s why we have made security a cornerstone of our mission, setting a high standard for protecting millions of customers and billions in assets.

Responsibilities
As a Blockchain Security Engineer on the Decentralized Financial Security Team, you will collaborate closely with engineers, technical product managers, and senior leadership to design secure products from the ground up. Your role will include:
• Conducting secure design reviews and threat modeling.
• Performing vendor reviews and secure code reviews for upcoming Coinbase products or features impacting millions of customers.
• Identifying key product risk areas and leading cross-functional risk-reduction initiatives.
• Enhancing and automating existing processes for improved efficiency using AI tools.
• Creating monitoring solutions to ensure identified risks remain manageable for Coinbase.
• Participating in the on-call rotation by providing timely

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM Anduril Intelligence Systems (AIS) is focused on positioning Anduril as a lead provider of specialized engineering and products for Intelligence Community (IC) customers. We work within the IC to understand their requirements, shape their concepts of operation, and deliver exquisite capability across their problem set. We aim to develop and deploy critically needed capabilities that address our customers' most pressing national security requirements. WHAT YOU'LL DO Build out the software ecosystem supporting next-generation hardware platforms powered by cutting-edge System-on-Chip devices. Implement rigorously tested and validated constant-time cryptographic algorithms from formal specifications. REQUIRED QUALIFICATIONS Experience with one or more of the following languages: Rust, C, C++, Cryptol. Experience implementing cryptographic algorithms from formal specifications. Currently possesses and is able to maintain an active U.S. Secret security clearance. PREFERRED QUALIFICATIONS Experience developing for low-level embedded systems. Experience implementing constant-time DPA-resistant algorithms. Experience implementing ASN.1 and X.509. US Salary Range $132,000-$198,000 USD The salary range for this role is an estimate based on a wide range

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.
KPMG is currently seeking a Manager, Cyber Penetration Tester to join our Enterprise Security Services organization. This is a remote work opportunity.
Responsibilities:
Conduct detailed network, and web application penetration tests
Perform red teaming exercises to assess the detection capabilities of our security operations
Engage in Artificial Intelligence (AI) Red Teaming to improve the robustness and security of AI systems
Facilitate security assessments, and manage the resolution of identified vulnerabilities
Stay current with the latest security trends, and techniques
Provide guidance and mentoring to junior team members
Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Qualifications:
Minimum five years of recent practical experience in cybersecurity, focusing on network and web application penetration testing, red teaming, AI red teaming, cloud penetration testing, and security assessments
Bachelor's degree from an accredited college or university is preferred; relevant certifications such as GIAC Penetration Tester (GPEN), Offensive Security Certified Professional (OSCP), Offensive Security Certified Expert (OSCE), Certified Information Systems Security Professional (CISSP), or similar are highly preferred; Certifications in Azure is preferred
Experience

At LeoTech, we are passionate about building software that solves real-world problems in the Public Safety sector. Our software has been used to help the fight against continuing criminal enterprises, drug trafficking organizations, identifying financial fraud, disrupting sex and human trafficking rings and focusing on mental health matters to name a few.

Role
• This is a remote, WFH role.
• As an AI/LLM Evaluation & Alignment Engineer on our Data Science team, you will play a critical role in ensuring that our Large Language Model (LLM) and Agentic AI solutions are accurate, safe, and aligned with the unique requirements of public safety and law enforcement workflows. You will design and implement evaluation frameworks, guardrails, and bias-mitigation strategies that give our customers confidence in the reliability and ethical use of our AI systems. This is an individual contributor (IC) role that combines hands-on technical engineering with a focus on responsible AI deployment. You will work closely with AI engineers, product managers, and DevOps teams to establish standards for evaluation, design test harnesses for generative models, and operationalize quality assurance processes across our AI stack.

Core Responsibilities
• Build and maintain evaluation frameworks for LLMs and generative AI systems tailored to public safety and intelligence use cases.
• Design guardrails and alignment strategies to minimize bias, toxicity, hallucinations, and other ethical risks in production workflows.
• Partner with AI engineers and data scientists to define online and offline evaluation metrics (e.g., model drifts, data drifts, factual accuracy, consistency, safety, interpretability).
• Implement continuous evaluation pipelines for AI models, integrated into CI/CD and production monitoring systems.
• Collaborate with stakeholders to stress test models against edge cases, adversarial prompts, and sensitive data scenarios.
• Research and integrate third-party evaluation framew

Who We Are

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.

What We Offer

Salary:

$108,000.00 - $148,500.00

Location:

Austin,TX, Santa Clara,CA

You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.

Role Summary

The AI Security Engineer is responsible for securing the enablement and use of AI, GenAI, LLM, and agentic technologies across the enterprise, balancing business velocity with protection of Applied Materials’ intellectual property, sensitive data, and customer trust.

This role drives AI security governance, risk management, technical guardrails, and operational oversight for AI systems and AI‑integrated applications across the full lifecycle—from intake and design through deployment, monitoring, and incident response. The role serves as a key focal point for AI security execution in the US and partners closely

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.
AI and intelligent systems are driving the fifth paradigm shift, following previous technological revolutions like mainframes, personal computers, the internet, and mobile devices.

We believe, in the foreseeable future, AI will revolutionize the FinTech industry - from how consumers understand and manage their finances, to how developers build applications and how all companies operate. The fintech industry landscape will undergo a fundamental reshape.

Plaid in the FinTech AI Ecosystem
Plaid is uniquely positioned to become the financial data and insights backbone for AI applications and platforms in this evolving ecosystem.

We believe consumers should be able to understand and manage their financial life through conversational AI interfaces using natural language. We believe consumers should have peace of mind with a trustworthy consent and authorization manager when agents shop for them. We believe identity verification and financial fraud prevention in AI-powered products should feel seamless and embedded for the end users. The list goes on.

The most important AI companies, major fintechs, and customer agent platforms are actively trying to integrate Plaid into AI-powered products and s

Publix Super Markets, Inc., the largest employee-owned company in the U.S., is driven by a dynamic technology team of 2,300+ professionals delivering innovative solutions to 1,400+ stores and 200,000+ associates across 8 states. 
  
From IT security and platform engineering to architecture, software development, and infrastructure, we offer career opportunities at every level—internships through technical leadership. 
  
Join a company consistently ranked among Fortune’s “100 Best Companies to Work For” and help us build more than great subs—build the future of technology at Publix. 
  
Join the Point-of-Sale Modernization team! As a Sr. Quality Assurance Automation Engineer, you will work on a highly complex, cross-platform effort with varying technology solutions (infrastructure, software, middleware, etc). This candidate will work closely with the project team and testers to ensure quality assurance activities are planned, executed, and the results are reported. In addition, the position will be responsible for the creation of automated test cases using industry-standard programming languages.

Location: Hybrid (Lakeland, FL)  
Work Model: Enjoy the best of both worlds—collaborate in person and innovate remotely. 
  
Why Join Us? 
• Hybrid Flexibility: Work remotely when you need focus time, and join us onsite for high-impact collaboration and brainstorming sessions.
• Operational Efficiency: Ensure technology solutions support efficient workflows and enable automation to improve operational effectiveness. 
• Cutting-Edge AI Projects: Drive innovation in AI platforms, integrating advanced tools and frameworks to solve complex business challenges.
• Empowered Culture: We value autonomy, creativity, and continuous learning—your ideas shape the future of technology in our organization. 
Your Impact
• Perform analysis and development of automated test cases using industry-standard programming languages
• Review project requirements, high-level system designs, and use

A company is looking for an AI Security Automation Engineer to enhance security in the software development lifecycle through automation and collaboration with various teams. Key Responsibilities Integrate security controls and automated testing into delivery pipelines and SDLC workflows Design, implement, and maintain automation for security scanning and vulnerability detection Produce and maintain documentation for security processes and automated workflows Required Qualifications Bachelor's degree in Computer Science, Cybersecurity, Engineering, or equivalent practical experience Strong knowledge of web and application security fundamentals Hands-on experience with SAST, DAST, SCA, or secrets scanning tools Experience integrating security tooling into CI/CD workflows Proficiency in at least one automation language (e.g., Python, JavaScript/TypeScript)

A leading innovator in materials science is looking for an Information Security Automation Engineer in Kearney, Missouri. This role is vital for designing and implementing AI-driven security solutions that enhance the company's cybersecurity framework. Candidates should have a bachelor’s degree in a related field and 2-4 years of experience in information security, including hands-on work with cloud platforms and AI programming. The position offers a comprehensive benefits package and the chance to make a significant impact on the security landscape.
#J-18808-Ljbffr Corning Inc.

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.

Need Help?

If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).

Regular or Temporary:
Regular

Language Fluency: English (Required)

Work Shift:
1st shift (United States of America)

Please review the following job description:
• **This position is 5 days a week in the Charlotte Office***

The Senior AI QA Engineer owns the quality validation of AI-enabled applications, agent workflows, and non-deterministic outputs in production-style enterprise environments.

This role combines the rigor of senior software quality engineering with the specialized evaluation discipline required for AI systems where correctness, completeness, hallucination risk, bias, safety, and reliability must all be measured explicitly.

This is a hands-on role focused on testing AI-powered products, agent-integrated workflows, prompt-driven solutions, and enterprise automations. The engineer designs and executes quality strategies spanning functional testing, regression testing, API validation, UI verification, output scoring, hallucination detection, evaluation dataset design, drift monitoring, and deployment gate readiness for agentic systems.

The role operates within the Forge model: production-first, governance-aware, and evidence-driven. Daily work includes defining test approaches for AI workflows, building automated test assets, validating prompts and outputs, running scenario-based and adversarial checks, partnering with engineering to remediate defects, and ensuring AI-enabl

IMC is embedding agentic AI directly into the developer workflow for our production-critical systems. As a member of the Agentic AI engineering team, you’ll help build agents, MCP servers, and evaluation loops that make AI-generated code reliable, auditable, and fast to ship. You’ll work closely with experienced engineers and platform teams to deliver pragmatic, high-impact AI integrations at scale.

What You’ll Do
• Contribute to the platform by implementing agents, MCP servers, and supporting services that propose and apply changes to large codebases
• Assist in developing retrieval systems that give AI agents and developers accurate, up-to-date context from large codebases and design artifacts
• Help measure and improve AI-generated changes by building compile/test/evaluate pipelines (static analysis, style and safety checks, performance gates, code review)
• Apply IMC’s best practices in concurrency, telemetry, configuration hygiene, and performance-sensitive code paths to ensure AI outputs are reliable and idiomatic
• Collaborate with teammates on experiments to evaluate and improve AI-driven workflows

What You Bring
• BS+ in Computer Science (or related) with strong fundamentals (algorithms, data structures, systems)
• Proficiency in a high-level programming language (Java or Python preferred)
• Experience contributing to developer-facing or production systems
• Curiosity and eagerness to learn about AI/LLM application patterns, even if you haven’t worked closely with them yet
• Strong communication skills; comfortable working with engineers in a fast, collaborative environment

Nice to Have
• Exposure to AI tools or workflows (e.g., LangChain, LangGraph, AutoGen, or similar)
• Experience with retrieval systems (vector search, embeddings, or hybrid approaches)
• Familiarity with compiler/static analysis or large-scale refactoring tools
• Interest in customizing or fine-tuning open-weight models
• Knowledge of model-serving or evaluation infrastructure

Why Th

Location Designation: Hybrid - 3 days per quarter

As part of Technology, you'll have the opportunity to contribute to groundbreaking initiatives that shape New York Life's digital landscape. Leverage cutting-edge technologies like Generative AI to increase productivity, streamline processes, and create seamless experiences for clients, agents, and employees. Your expertise fuels innovation, agility, and growth - driving the company's success.

The Identity & Access Management (IAM) Developer is a senior, hands-on engineering role responsible for designing, developing, and supporting enterprise IAM capabilities at New York Life. This role focuses heavily on SailPoint IdentityIQ (IIQ) development, Java-based customization, and Python-driven automation, while also providing technical leadership and mentorship within the IAM engineering team.

In addition to deep technical expertise, this role requires strong managerial and leadership skills. The IAM Developer is expected to lead workstreams, guide junior developers, partner closely with architecture and security stakeholders, and help translate business and regulatory requirements into scalable IAM solutions.

As IAM continues to evolve alongside automation and artificial intelligence, this role will also contribute to the responsible use of AI-enabled tooling within IAM, including reporting, analytics, and productivity enhancements.

What You'll Do:

IAM Engineering & Development

Design, develop, test, and implement scalable IAM solutions aligned with enterprise security standards and business requirements. Develop and maintain SailPoint IdentityIQ (IIQ) capabilities including workflows, provisioning policies, custom forms, rules, reports, certifications, and integrations. Build and enhance identity lifecycle automation for joiner, mover, and leaver (JML) processes. Develop custom connectors and integrations using JavaBeans, Java, web services, and APIs. Leverage Python scripting to a

Responsibilities The mission of TikTok's Global Security Organization is to build and earn trust by reducing risk and securing our businesses and products. Also known as "GSO", this team is the foundation of our efforts to keep TikTok safe, secure, and operating at scale for over 1 billion people around the world. We work to ensure that the TikTok platform is safe and secure, that our users' experience and their data remains safe from external or internal threats, and that we comply with global regulations wherever TikTok operates. Trust is one of TikTok's biggest initiatives, and security is integral to our success. In whatever ways users interact with us — whether they're watching videos on their For You page, interacting with a Live video, or buying products on TikTok Shop — GSO protects their data and privacy, so they can have a secure and trustworthy experience. TikTok’s Global Forensics team is responsible for the company’s technical investigations and digital forensics work. We are seeking a DFIR Automation Engineer (Investigation Enablement & Threat Hunting). This role focuses on tooling, automation, and AI-assisted engineering to scale cross-domain investigations by accelerating data retrieval, correlation, timeline reconstruction, evidence packaging, and report drafting—while preserving audit-ready, defensible, and reproducible evidence chains. The role also drives case-informed proactive hunting to discover additional risk signals and convert them into reusable playbooks, tools, and detection/controls improvements. Responsibilities - Build and maintain investigation enablement tooling and automation: data retrieval/export, enrichment, correlation, entity normalization, timeline generation, evidence indexing, and report skeleton drafting. - Apply AI-assisted development (“vibe coding” for rapid prototyping) to accelerate delivery of scripts/tools, while enforcing engineering guardrails (human review, tests, change control, and auditability). - Engineer sce

Hybrid - San Francisco, New York, London, Berlin About Vercel: Vercel gives developers the tools and cloud infrastructure to build, scale, and secure a faster, more personalized web. As the team behind v0, Next.js, and AI SDK, Vercel helps customers like Ramp, Supreme, PayPal, and Under Armour build for the AI-native web. Our mission is to enable the world to ship the best products. That starts with creating a place where everyone can do their best work. Whether you're building on our platform, supporting our customers, or shaping our story: You can just ship things. About the Role: We are looking for an Automation Engineer to join our Security team. This role will focus on building internal security tools, automating secure design reviews, and integrating security guidance directly into pull requests. Your work will empower both the security and development teams by reducing friction in the security review process and ensuring best practices are embedded seamlessly into the Software Development Lifecycle (SDLC). If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What You Will Do: Develop and maintain security automation tooling to enhance visibility, enforce security best practices, and streamline processes. Automate secure design reviews and integrate security checks into pull request workflows and CI/CD pipelines. Build and manage security operations automation, including data pipelines, SOAR workflows, and log aggregation for improved threat detection. Collaborate with development and security teams to ensure seamless adoption of security automation. Continuously refine automation strategies to optimize security effectiveness and reduce manual overhead. Support on-going vulnerability management eff

Description

Are you searching for important work at the intersection of National Security Analysis and Artificial Intelligence?

Are you passionate about deploying, sustaining, and securing AI-enabled software?

If so, we're looking for someone like you to join our team at APL, working at the forefront of operationalizing artificial intelligence in national security environments.

In this role, you will bridge the gap between AI development and real-world deployment—ensuring that advanced capabilities, including large language models and supporting services, are delivered securely, reliably, and at scale to mission environments.

Working within the Advanced Mission Modeling and AI Group (JAM) in the National Security Analysis Department (NSAD), you will play a critical role in ensuring that AI capabilities are not just developed—but successfully fielded and maintained across DoD and Combatant Command infrastructures.

As an AI Platform and DevSecOps Engineer...

Your primary responsibility will be to develop, maintain, and continuously update a secure library of containerized software and supporting stacks, along with implementing automated pipelines for container builds, testing, and validation and ensuring compatibility across multiple operating systems and architectures.You will design, deploy, and maintain Kubernetes-based infrastructure, maintain well-documented, reproducible deployment configurations, and optimize performance and reliability across constrained environments.You will develop processes to continuously scan containers and dependencies for vulnerabilities and remediate findings, ensuring compliance with evolving STIG requirements and security controls and integrating security best practices into CI/CD pipelines.You will navigate deployments across DoD and IC systems, adapt deployment strategies to meet ATO and accreditation constraints, and troubleshoot environment-specific deployment issues.
Qualifications

You meet our minimum qu

CertiK is a pioneer in blockchain security, leveraging AI technology to secure blockchain protocols and smart contracts. The role involves conducting security assessments, penetration testing, and developing security methodologies for applications in the blockchain space.

Responsibilities
• Perform security assessments on web, mobile, thick client applications, and browser extensions
• Conduct external and internal network penetration tests
• Perform security source code reviews
• Perform cloud security reviews
• Develop comprehensive pentest reports for both technical and non-technical audiences
• Research and develop innovative techniques, tools, and methodologies for pentesting applications in the blockchain space
• Contribute to the community by developing tools, presentations, and blog posts

Skills
• Passionate about cryptocurrency, DeFi, and blockchain, with a willingness to learn Web3 technologies such as smart contracts
• Minimum of 4 years of experience in application security and penetration testing
• Experienced in source code review for different languages, with a strong understanding of JavaScript and TypeScript
• Experienced in mobile application penetration testing
• Familiar with cloud platforms and their security risks, such as AWS, Azure, and GCP
• Experience in programming with scripting languages such as Python and Bash
• Solid understanding of cryptography
• BS/MS/PhD in Computer Science or Information Security
• Strong spoken and written communication skills
• Experienced in pentesting Web3 applications such as crypto exchanges, wallets, Dapps, and key custodian solutions
• Experienced in smart contract security audits
• Familiar with browser extension architecture and security risks
• Actively participate in the blockchain security community
• OSCP, OSWE, OSCE, GWAPT, or comparable certification
• Participated in bug bounty programs and audit contests
• Published security-related blog posts and spoken at security conferences and/or local mee

The Role: Senior Software Engineer – Rust (LLM Evaluation & Repository Validation)
Location: Permanent Remote, Africa-Based

Contract Type: Contractor (no medical/paid leave)

Duration: 3 months (extensions possible)

Start Date: Immediate (within 1 week)

Commitment: 20–40 hours/week with some overlap with Pacific Standard Time (PST)

Experience Required: 3–8 years overall, with 2+ years in Rust

About the Project
We are building LLM evaluation and training datasets to train large language models (LLMs) to work on realistic software engineering problems. A key approach in this project involves creating verifiable SWE tasks from public repository histories in a synthetic, human-in-the-loop process. The goal is to expand dataset coverage across programming languages, complexity levels, and problem domains.

This role blends hands-on software engineering with AI-focused research, giving you a chance to work at the intersection of open-source software and cutting-edge AI systems.

Responsibilities:
Analyse and triage GitHub issues across trending open-source libraries.Set up and configure repositories (including Dockerization and development environment setup).Evaluate unit test coverage and quality across projects.Run and modify codebases locally to assess LLM bug-fixing performance.Collaborate with researchers to design/select repositories and tasks challenging for LLMs.(Optional) Lead junior engineers collaborating on evaluation tasks.Why Join:
Work remotely on impactful AI + software engineering projects.Collaborate with researchers shaping the future of AI-assisted development.Opportunity to contribute to real-world open-source challenges while influencing LLM training and evaluation.Application Process: To apply, please submit your CV and a cover letter detailing your relevant experience and qualifications for the role. Applications will be reviewed on a rolling basis, so early submissions are encouraged.
Equal Opportunity Employer: We value diversity and

Our company:

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

What You Will Do:

In this role, you will be part of Teradata’s Product Engineering leadership team and will lead the next gen agentic architecture for AI across Teradata’s data and analytics platform. You will be a critical force in defining how Teradata evolves to deliver intelligent, scalable, and secure AI capabilities tightly integrated into our hybrid cloud platform.

Your work will shape the AI architectural direction for Teradata’s analytics and applications stack, ensuring that our platform natively supports advanced AI-driven use cases for enterprises. You will design modern, modular solutions across multi-cloud and on-prem environments, integrating agentic AI, generative AI, open data formats, and real-time streaming into Teradata’s portfolio. Your leadership will enable Teradata to maintain its position as the most trusted, enterprise-grade data and AI platform in the world.

In this role, you will:

+ Architect Teradata’s foundational AI strategy – driving capabilities that enable agentic AI, GenAI, and advanced analytics on the Teradata VantageCloud platform.

+ Design scalable, performant AI-driven architectures using open table formats (Iceberg, Delta), query engines (Trino, Presto, Spark), and event streaming (Kafka, Pulsar).

+ Integrate AI into Teradata’s products, including orchestration, context management, and long-running workflows with frameworks like LangChain, Semantic Kernel, and connectors to Amazon Bedrock, Azure Open

SDET

Location: Hybrid, once a week onsite in DC or Columbia, MD. Candidates MUST be local to the DMV area.

Duration: 6-month contract-to-hire

Visa: US Citizen & GC only

Requirements:

Need to Close:

✅ 5+ years of experience in test automation

✅ Java or Python development experience

✅ Strong SQL experience (can create joins and aggregations, performance optimization, subqueries, etc.)

✅ CloudBees or Jenkins experience

✅ Experience with any AI/ML frameworks (LangChain, OpenAI, Vellum AI, AutoGen, etc.)

✅ Git or SVN experience for version control

Nice to have:

✅ Bachelor’s degree or relevant certifications

✅ LangChain experience

✅ Unix shell scripting experience

✅ Healthcare insurance industry experience

WHAT YOU DO AT AMD CHANGES EVERYTHING

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.

THE GROUP:

AI is defining the next era of computing, and this is just the beginning. We see the benefits of AI every day—enabling medical research, curbing credit card fraud, reducing congestion in cities, or simply making life easier.

In the ever-evolving landscape of artificial intelligence, we are a powerhouse – a cutting-edge 'AI Forward Deployment Software Development Team'. Specialized in end-to-end AI optimization, fine-tuning large language models to unlock unprecedented Generative AI efficiency. Our expertise extends beyond the hardware realm, encompassing 3P enablement, where we develop custom AI Software Solutions for Industry leading AI customers. Are you excited to work with one of Top 1% of the AI companies in the world?

THE ROLE:

As a Forward Deployment Software Engineer, you will work closely with our most strategic partners as a hands-on technical expert. You are responsible for turning AMD’s cutting-edge AI technology into tangible business value. This role is a unique blend of customer relationship skills and elite software engineer; you will work side-by-side with clients to help them prove out and ultimately deploy AI solutions on AMD GPUs, and you will spot existing AI software optimization opportunities and push the

We are looking for a highly skilled
*AI/ML Engineer – Module Lead**
with strong experience in
*Generative AI and Large Language Models (LLMs)**
. In this role, you will design, develop, and deploy scalable AI solutions leveraging advanced models such as
*GPT**
,
*LLaMA**
, and
*Gemini**
.
You will play a key role in building
*Retrieval-Augmented Generation (RAG) pipelines**
, optimizing AI model performance, and integrating AI capabilities into production systems.
This role is ideal for engineers passionate about building
*real-world Generative AI applications at scale**
.
Key Responsibilities
Develop and fine-tune*Large Language Models (LLMs)**
and Generative AI applications.
Design and implement*Retrieval-Augmented Generation (RAG) pipelines**
for intelligent knowledge retrieval.
Work with vector databases such as*Pinecone**
,
*Milvus**
, and
*Chroma**
.
Optimize AI models for*performance, latency, scalability, and cost efficiency**
.
Implement*AI safety and guardrails**
to ensure responsible and secure AI usage.
Collaborate with cross-functional teams including*data scientists, software engineers, and product teams**
to deploy AI solutions into production environments.
Stay updated with the latest advancements in*Generative AI, deep learning, and LLM technologies**
.
Document architecture, models, and best practices for scalability and knowledge sharing.
Required Skills
Strong expertise in*Artificial Intelligence and Machine Learning algorithms**
.
Hands-on experience working with*Large Language Models (LLMs)**
such as GPT, Llama, or Gemini.
Experience building*RAG pipelines**
and working with vector databases.
Proficiency in ML frameworks such as*PyTorch**
or
*TensorFlow**
.
Experience with LLM frameworks like*LangChain**
or
*LlamaIndex**
.
Strong understanding of*prompt engineering, model fine-tuning, and evaluation techniques**
.
Experience implementing*AI monitoring, governance, and safety controls**
.
Preferred Skills
Experience deploying AI solutions on clo

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Job Description

Job Title: Agentic AI Developer (Entry-Level)
Job Location: Bellevue, WA (Hybrid)

About the job you’re considering
The Entry-Level Agentic AI Engineer role focuses on designing and delivering intelligent, AI driven engineering solutions for Automotive and Aerospace customers. This position blends MBSE, CAD/PLM (3DEXPERIENCE, CATIA, No Magic) expertise with LLM based agent development to enable design automation, knowledge extraction, digital thread integration, and decision support. The role requires strong mechanical engineering fundamentals and hands on experience building scalable, enterprise grade GenAI solutions.

Your Role
• Design and develop LLM based intelligent agents using Python and modern agent frameworks.
• Build AI driven solutions for engineering use cases such as knowledge extraction, design automation, and model transformation.
• Develop and integrate MBSE workflows using No Magic / Cameo Systems Modeler and SysML.
• Basic knowledge on CATIA V5/V6 and 3DEXPERIENCE automation solutions using EKL, CAA, Python, and macros.
• Integrate CAD, MBSE, and PLM systems to enable digital thread and digital engineering workflows.
• Develop Retrieval Augmented Generation (RAG) pipelines for engineering knowledge systems.
• Design APIs and orchestrate workflows for engineering copilots and assistants.
• Collaborate with cross functional teams to architect scalable, enterprise grade engineering solutions.
• Develop POCs, technical documentation, and solution architectures for customer engagements.
• Support cloud based deployment of AI solutions, pr

KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand, and looking forward we do not anticipate that slowing down. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility and leading market tools, we make sure our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.

KPMG is currently seeking a Senior Specialist, AI Penetration Tester to join our Managed Services practice.

Responsibilities:
• Execute AI-focused penetration testing engagements, including manual testing of systems incorporating AI/ML, objective-based testing of AI-driven features, and coverage of both traditional and AI-centric attack surfaces
• Perform threat modeling for AI-powered software systems, evaluate AI-related business logic, and conduct architecture reviews with emphasis on adversarial ML vectors, prompt-based vulnerabilities, and other AI-specific security risks
• Develop and improve AI-driven tools and methodologies for offensive security tasks such as discovery, exploitation, fuzzing, and adversarial ML testing, focusing on web apps, APIs, and mobile clients
• Demonstrate AI penetration testing findings to technical and non-technical audiences, including live demos, and collaborate with engineering, development, and security teams to lead remediation discussions and advise on secure AI model development and deployment best practices
• Research emerging AI attack techniques, evaluate their potential impact, identify vul

Smart Contract Engineer

Hybrid - SF Bay Area, CA - Austin, TX - Miami, FL Offices

Apply Now

About Us:

AnChain.AI, headquartered in San Francisco, is an award-winning AI-powered cybersecurity company specializing in enhancing Web3 security, risk, and compliance strategies. Founded by cybersecurity and enterprise software veterans from FireEye and Mandiant, AnChain.AI is backed by Silicon Valley and Wall Street VCs, selected in the Berkeley Blockchain Xcelerator, and trusted by 100+ customers globally, including the U.S. SEC, the IRS, FINCEN, and more. The company's AML engine screens over $1 billion in daily crypto transactions and has been featured by Forbes, CNBC, MIT Tech Review.

Join us in our mission to safeguard the future of digital innovation and make a meaningful impact on the cybersecurity landscape.

Job Description:

AnChain.AI is seeking a skilled Smart Contract Engineer to join our mission-driven team in San Jose, CA. This role is ideal for a developer with a deep interest in blockchain technologies and smart contracts, who is motivated to grow into a smart contract investigator. As a Smart Contract Engineer at AnChain.AI, you will develop, deploy, and maintain smart contracts while also learning to identify vulnerabilities and potential faults that could impact functionality and security.

Responsibilities:
• Develop and deploy robust, secure smart contracts on Ethereum and other blockchain platforms.
• Analyze and determine the functionality of smart contracts to ensure they perform as intended.
• Identify vulnerabilities and potential security faults within smart contracts before they are deployed.
• Collaborate with the cybersecurity team to enhance existing smart contract analysis tools and methods.
• Stay updated with the latest developments and best practices in blockchain technology and smart contract security.
• Train and transition into a smart contract investigator role, developing skills to conduct thorough investigations into smart con

About Periodic Labs

We are an AI + physical sciences lab building state of the art models to make novel scientific discoveries. We are well funded and growing rapidly. Team members are owners who identity and solve problems without boundaries or bureaucracy. We eagerly learn new tools and new science to push forward our mission.

About the role

You will integrate, optimize, and operate large-scale inference systems to power AI scientific research. You will build and maintain high-performance serving infrastructure that delivers low-latency, high-throughput access to large language models across thousands of GPUs. You will work closely with researchers and engineers to integrate cutting-edge inference into large-scale reinforcement learning workloads. You will build tools and directly support frontier-scale experiments to make Periodic Labs the world’s best AI + science lab. You will make contributions to open-source LLM inference software.

You might thrive in this role if you have experience with:
• Optimizing inference for the largest open-source model
• High-performance model serving frameworks such as TensorRT-LLM, vLLM, SGLang
• Distributed inference techniques (tensor/expert/pipeline parallelism, speculative decoding, KV cache management)
• Optimizing GPU utilization and latency for reinforcement learning

AstraZeneca is a global, science-driven biopharmaceutical company. We are dedicated to discovering, developing, and delivering innovative, meaningful medicines and healthcare solutions that enrich the lives of patients. In AstraZeneca Oncology, our goal is to be at the forefront of developing the next generation of cancer therapies.

This Staff Engineer Agentic AI role is located in either Boston, MA, or Gaithersburg, MD

Main Duties and Responsibilities

There is an exciting opportunity for a talented and motivated Engineer to join the group as a Staff Engineer for Agentic AI. In this role, you will:

Build Agentic AI driven solutions that tackle scientific research problems.

Develop, test, and support Agentic tools for Genomics, Computational Pathology, Clinical Trials, etc.

Automate complex data analysis processes.

Introduce leading AI technologies applied to cancer research.

Essential Requirements

Relevant graduate degree: Computer Science, Engineering, or Bioinformatics.

Minimum of 10 years of applied experience in software engineering, data science, machine learning, bioinformatics, or relevant field.

Hands-on experience building Agentic AI systems and deploying them to production.

Programming skills: Solid Python and/or TypeScript programming skills

Vast Experience in: Unix, SQL databases, REST APIs, Cloud computing (AWS).

Vast Experience in software development best practices.

Desirable:

AI frameworks, such as Pydantic-AI, LangChain, etc.

Experience in RAG, vector databases.

An understanding of LLMs / Foundation models technologies.

Experience in at least one compiled programming language (e.g. any of C, Java, Go, Rust, etc.).

The annual base pay for this position ranges from $177,520.00 - $266,280.00. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportu

Date Posted:

2026-02-19Country:

United States of AmericaLocation:

US-CT-EAST HARTFORD-RTRC K 411 Silver Ln RTRC KPosition Role Type:

HybridU.S. Citizen, U.S. Person, or Immigration Status Requirements:

This job requires a U.S. Person. A U.S. Person is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3). U.S. citizens, U.S. nationals, U.S. permanent residents, or individuals granted refugee or asylee status in the U.S. are considered U.S. persons. For a complete definition of “U.S. Person” go here: https://www.ecfr.gov/current/title-22/chapter-I/subchapter-M/part-120/subpart-C/section-120.62Security Clearance Type:

None/Not RequiredSecurity Clearance Status:

Not Required

RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, VA.

The following position is to join our RTX Research Center team:

Role Overview:

Seeking a motivated and curious candidate for an Agentic AI Researcher position in the Advanced Learning and Analytics team, part of the AI Discipline.

The Advanced Learning and Analytics team researches and develops machine learning, computer vision, reinforcement learning, LLM applications and human computer interaction solutions for a variety of high impact real world problems in the aerospace, manufacturing and defense industries. Examples include auton

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose.

When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.

Senior Staff Engineer, Applied AIAbout GEICO

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose.

When you join our company, we want you to feel valued, supported and proud to work here. That's why we offerThe GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.
Role Overview

GEICO is seeking aSenior Staff Engineer, Applied AIto provide technical architecture and leadership for medium to large, complex, cross-functional AI initiatives that have visibility at the tech VP level. This is a self-directed, senior individual contributor role for someone with deep technical expertise, proven ability to influence across organizational boundaries, and a track record of delivering scalable, resilient, production-ready AI systems that drive measurable business outcomes.

You will provide technical direction and architecture for capabilities spanning multiple teams, working closely with Staff Engineers, engineering leaders, product management, and business stakeholders to design and scale AI-powered solutions. You will actively mentor and sponsor mid-level engineers, set technica

The Opportunity

Adobe is looking for a Machine Learning intern who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers.

By using predictive models, experimental design methods, and optimization techniques, you will be working on the research and development of exciting projects like real-time online media optimization, sales operation analytics, customer churn scoring and management, customer understanding, product recommendation and customer lifetime value prediction.

All 2026 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities.  

What You’ll Do
• Develop predictive models on large-scale datasets to address various business problems with statistical modeling, machine learning, and analytics techniques.
• Develop and implement scalable, efficient, and interpretable modeling algorithms that can work with large-scale data in production systems
• Collaborate with product management and engineering groups to develop new products and features.

What You Need to Succeed
• Currently enrolled full time and pursuing a Master’s or PhD degree in Computer Science, Computer Engineering; or equivalent experience required with an expected graduation date of December 2026 – June 2027
• Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts.
• Proficient in one or more programming languages such as Python, Java and C
• Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn
• Strong analytical and quantitative problem-solving ability.
• Ex

This role is a Lead/Senior Full Stack UI & API Automation QA Engineer and is on the QA CoE Team and is crucial for advancing QA automation and quality strategy, offering leadership and technical expertise in UI and API testing. The QA Automation Engineer will design scalable automation frameworks using modern and AI-driven solutions, mentor team members, and integrate quality into CI/CD pipelines and cloud environments. Responsibilities include leading proof-of-concept projects, promoting best practices, and enhancing automated testing as a code-focused, DevOps-integrated professional. The position collaborates with Engineering, Product, DevOps, AI, and Security teams to ensure applications are reliable, scalable, and production ready. Lead and support quality assurance programs and processes in alignment with QA strategy and deliverables in an Agile/Scrum environment with minimal guidance. Responsible for providing feedback and coaching on artifacts developed during requirements and analysis phase within client projects; authoring test cases/scripts; and performing test execution. Demonstrate the company's core values of respect, honesty, integrity, diversity, inclusion and safety. From one tiny Cincinnati grocery store more than a century ago, we’ve grown into what today is the nation’s largest grocer with nearly 2,800 stores in 35 states operating under 28 different names. As America’s grocer, we take pride in bringing diverse teams with a passion for food and people together with one common purpose: To Feed the Human Spirit. With a history of innovation, we work tirelessly to create amazing experiences for our customers, communities AND each other, with food at the heart of it all. Here, people matter. That’s why we strive to provide the ingredients you need to create your own recipe for success at work and in life. We help feed your future by providing the value and care you need to grow. If you’re caring, purpose-driven and hungry to learn, your potential is u

Hi,
Hope you are doing well.

My name is Anjali, and I am a Sr Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, share me your updated resume on anjali08@kanakits.com.

Role: QUALITY ENGINEERING & AUTOMATION SPECIALIST

Location: Cincinnati, OH (onsite)

Job Description:

Quality Engineering & Automation:
• Develop and execute automated test frameworks for Databricks notebooks, jobs, Delta tables, and data pipelines.
• Implement automated data validation, schema checks, and quality monitoring using tools such as PySpark, SQL, Delta Live Tables, and Databricks Workflows.
• Build reusable test harnesses for ETL/ELT processes, ML pipelines, and APIs.

Data Pipeline Testing:
• Conduct end to end testing of ingestion, transformation, and consumption layers.
• Validate data quality dimensions including accuracy, completeness, timeliness, validity, consistency, and uniqueness.
• Create and maintain synthetic datasets for testing workflows.

Collaboration & Governance:
• Work closely with Data Engineers, Platform Engineers, and Data Scientists to ensure high-quality pipeline design and execution.
• Partner with governance teams to implement data quality SLAs, KPIs, and observability dashboards.
• Contribute to CI/CD processes for Databricks jobs and testing automation.

Performance & Reliability:
• Analyze and optimize performance of Spark jobs and data workflows.
• Troubleshoot failures, identify root causes, and recommend corrective actions.
• Ensure testing processes scale across large datasets and distributed compute environments

About the position

This role is a Lead/Senior Full Stack UI & API Automation QA Engineer and is on
the QA CoE Team and is crucial for advancing QA automation and quality strategy,
offering leadership and technical expertise in UI and API testing. The QA
Automation Engineer will design scalable automation frameworks using modern and
AI-driven solutions, mentor team members, and integrate quality into CI/CD
pipelines and cloud environments. Responsibilities include leading
proof-of-concept projects, promoting best practices, and enhancing automated
testing as a code-focused, DevOps-integrated professional.
The position collaborates with Engineering, Product, DevOps, AI, and Security
teams to ensure applications are reliable, scalable, and production ready.

Lead and support quality assurance programs and processes in alignment with QA
strategy and deliverables in an Agile/Scrum environment with minimal guidance.
Responsible for providing feedback and coaching on artifacts developed during
requirements and analysis phase within client projects; authoring test
cases/scripts; and performing test execution. Demonstrate the company's core
values of respect, honesty, integrity, diversity, inclusion and safety.

From one tiny Cincinnati grocery store more than a century ago, we’ve grown into
what today is the nation’s largest grocer with nearly 2,800 stores in 35 states
operating under 28 different names. As America’s grocer, we take pride in
bringing diverse teams with a passion for food and people together with one
common purpose: To Feed the Human Spirit. With a history of innovation, we work
tirelessly to create amazing experiences for our customers, communities AND each
other, with food at the heart of it all.
Here, people matter. That’s why we strive to provide the ingredients you need to
create your own recipe for success at work and in life. We help feed your future
by providing the value and care you need to grow. If you’re caring,
purpose-driven and hungry to lear

Job Description

This role is a Lead/Senior Full Stack UI & API Automation QA Engineer and is on the QA CoE Team and is crucial for advancing QA automation and quality strategy, offering leadership and technical expertise in UI and API testing. The QA Automation Engineer will design scalable automation frameworks using modern and AI-driven solutions, mentor team members, and integrate quality into CI/CD pipelines and cloud environments. Responsibilities include leading proof-of-concept projects, promoting best practices, and enhancing automated testing as a code-focused, DevOps-integrated professional.
The position collaborates with Engineering, Product, DevOps, AI, and Security teams to ensure applications are reliable, scalable, and production ready.

Lead and support quality assurance programs and processes in alignment with QA strategy and deliverables in an Agile/Scrum environment with minimal guidance. Responsible for providing feedback and coaching on artifacts developed during requirements and analysis phase within client projects; authoring test cases/scripts; and performing test execution. Demonstrate the company's core values of respect, honesty, integrity, diversity, inclusion and safety.

Responsibilities

- Guide testing efforts involving coaching, mentoring, code reviews, and contributing to improvements to frameworks, tools, processes and best practices
- Provide oversight to ensure automation test suites are well maintained and operational
- Provide accurate estimates for QA efforts including test case design/scripting, test data management, execution and defect correction
- Understand Kroger's core quality metrics and how to utilize them to foster quality improvement
- Design, develop, analyze, document and support CoE activities that drive continuous improvement across the organization
- Manage quality assurance and testing projects, schedules, tasks and deliverables
- Communicate quality issues and recommendations to improve quality to senior lev

About Cognizant’s Quality Engineering & Assurance Team

Our Quality Engineering & Assurance team is the innovative engine at our company. We are a dedicated group of builders and problem-solvers responsible for the most critical, customer-facing platforms. Within this team, the Quality practice is not a downstream function but a fully integrated partner in development. Our mission is to embed quality into every stage of the lifecycle, and as a Quality Engineer, you will be on the front lines of this effort.

Position Overview

Are you a driven Quality Engineer passionate about building the future of testing? We are seeking a creative and hands-on QE to be a key contributor to our quality practice. This is an exciting opportunity to move beyond traditional QA and dive into the world of AI-driven testing, helping us build and maintain robust quality standards for our mission-critical intelligent applications that are redefining customer interaction.

Key Responsibilities
• Design, develop, and maintain test automation frameworks using Java and Python. Write clean, efficient, and scalable automation scripts for new features to ensure robust test coverage across all deliverables.
• Perform API testing: Understand API concepts, develop and execute functional tests, interpret Swagger YAML files, and validate endpoints using Postman or Rest Assured automation frameworks.
• Conduct database testing: Write and execute SQL queries to retrieve, update, and delete data, ensuring database integrity and reliability.
• Own quality for assigned features and components: Collaborate with product managers and developers on requirements analysis, create detailed test cases, execute comprehensive test suites (functional, integration, regression), and provide final quality sign-off.
• Track and report testing progress: Use tools such as JIRA, ADO, or ALM for defect logging and reporting, ensuring transparency of feature quality to the team and stakeholders. Also understanding of CI/CD co

Company Description

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
Job Description

Team Bio:

ServiceNow’s Applied AI Forward Deployed Engineering (FDE) team is where bold ideas meet transformative action. We partner with our most strategic customers to shape the future of enterprise AI. Together, we identify high-value opportunities, accelerate business outcomes, and build reusable AI-native solutions that advance the Now AI Platform.

Our mission: We partner deeply with our customers to build intelligent, scalable AI solutions that solve their most mission-critical challenges. By embedding in real-world complexity, we deliver fast, iterate with purpose, and transform every success into reusable patterns that accelerate transformation across the Now Platform and the broader enterprise.

Why This Role Matters:

Enterprise leaders aren’t just experimenting with AI—they’re demanding outcomes. The next wave of adoption will be led by those who can move fast, deliver measurable value, and transform 1-off wins into repeatable success.

As a Forward Deployed Solution Architect (FDSA), you operate on the frontlines of that transformation. You embed with customers to uncover opportunities, architect AI-powered systems that drive ROI, and guide how those solutions scale across the Now Platform.

This is a rare opportunity to serve as a Field Product Architect at the forefront of applied AI, helping define what great looks like for sca

Atmosera empowers businesses to redefine what's possible with modern technology and human expertise. Our exceptional experience across Applications, Data & AI, DevOps, Security, and the Microsoft Azure platform enables organizations to accelerate innovation, enhance security, and optimize operational agility. As a Microsoft Partner with seven specializations, GitHub AI Partner of the Year, a member of the GitHub Advisory Board, and a member of the prestigious Microsoft Intelligent Security Association (MISA), Atmosera expertly delivers cutting-edge, integrated solutions that deliver business value.

PLEASE NOTE THAT WE ARE NOT ACTIVELY HIRING AI ENGINEERS AT THIS TIME. WE ARE PIPELINING TALENT IN ANTICIPATION OF ADDITIONAL HIRING NEEDS IN THE FUTURE. PLEASE EXCUSE ANY DELAYS IN RESPONSE IN THE MEANTIME.

We are seeking a highly skilled and collaborative Agentic AI Engineer to lead the design, development, and deployment of agentic AI solutions using Microsoft 365 Copilot and Copilot Studio. This role will be instrumental in transforming business workflows through intelligent automation, integrating with enterprise APIs, and delivering measurable business value across multiple use cases.

Key Responsibilities
• Collaborate with business stakeholders to identify, prioritize, and document high-impact agentic AI use cases.
• Design and implement Copilot Studio agents (declarative and custom) that integrate with Microsoft 365 apps (Teams, Outlook, Excel) and enterprise systems.
• Lead technical readiness assessments including API validation, data model alignment, and integration feasibility.
• Develop and deploy pilot agents, including two small and one medium agent, aligned with business workflows and success metrics.
• Ensure secure and compliant agent development by working with InfoSec, Legal, and Risk teams to define guardrails and data access policies.
• Support change management efforts including training, documentation, and knowledge transfer to internal teams.
•

Role: Senior Engineer Agentic AI Location: Any US Location - must be willing to travel per business need

Job Description:

Preface The Agentic AI Engineer is a hands-on development role at TCS (Americas) specializing in building and deploying AI agent solutions for clients. As businesses shift toward agentic AIautonomous systems that execute tasks independentlyroles like AI Agent Engineer have emerged. In this client-facing consulting position, youll work in a hybrid environment, delivering cutting-edge AI agents that blend large language models, custom prompts, data sources, and business logic. Projects can range from financial chatbots to manufacturing optimizers, requiring advanced prompt engineering, Retrieval-Augmented Generation (RAG), and strong software skills.

What You Would Be Doing
• Develop AI Agents & Applications: Code the core logic for AI agents, whether standalone or in multi-agent systems, enabling them to answer questions, generate content, or execute transactions.
• Coding with LLMs and Tools: Use Python or similar languages to integrate large language models (LLMs) and external tools (e.g., APIs, web search, databases).
• Prompt Engineering & Optimization: Craft, refine, and test prompts to guide agent behavior, including fallback strategies for uncertainty.
• Implement RAG for Knowledge: Connect AI agents to vector databases or search indices to ground outputs in up-to-date, domain-specific information.
• System Integration & APIs: Integrate AI agents with external systems (e.g., travel booking APIs, payment gateways), handling formatting, RESTful calls, and data responses as needed.
• Testing and Iteration: Simulate agent behavior, identify and fix failure modes, and tune prompts and code for high-quality results.
• Deploy AI Solutions: Package and deploy agent applications (Docker, cloud), ensuring scalability and proper configuration.
• Collaboration & Agile Delivery: Work with AI Architects, Data Engineers, and UX Developers in agile team

Company Description

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
Job Description

As an AI Solution Architect, you will establish architectural patterns that demonstrate the value of the ServiceNow platform within days, accelerating technical validation and deal closure. You will serve as a trusted technical advisor for customers, translating ambitious AI strategies into solution blueprints and proof of concepts designed to deliver measurable results.

Purpose:

Design and deliver AI Experience architectures, proof of concepts, and solution blueprints to streamline customer journeys and accelerate outcomes. AI Solution Architects support the design, architecture, and development of proofs of concept for AI Experience across the ServiceNow platform, including skills and workflows.

Key Responsibilities:
• Lead architectural design sessions focused on AI Experience and platform solutions, transforming customer requirements into actionable blueprints.
• Demonstrate platform capabilities through in-depth technical presentations, highlighting integration options and fostering confidence in the solution’s technical foundation.
• Develop proofs of concept and technical validation frameworks for customers in your designated districts.
• Work closely with AI Experience Solution Consultants to ensure alignment between solution blueprints, customer priorities, and workshop outcomes.
• Create and contribute to reusable assets, reference

Perplexity is seeking a highly skilled, experienced, and hands-on AI Security Engineer to join our security team, driving the protection of next-generation AI systems against adversarial threats. In this role, you’ll design and implement robust mechanisms to secure self-hosted models, LLM APIs, agents, MCPs, and the core AI stack. You'll empower developers with tools and guidance, as well as technical contributions, enabling innovation while ensuring AI security is strong by default.

Our tech stack includes Python, NextJS, TypeScript, Docker, AWS, Kubernetes, and PostgreSQL.

Responsibilities
• Define, build, and refine mechanisms to secure AI systems (including self-hosted models, LLM APIs, agents, MCPs, and other core components of the AI stack) against adversarial behavior of all kinds
• Understand technically complex AI systems, identify potential weaknesses in their architecture, and implement improvements
• At least 50% of time performing hands-on remediation. Also working closely with peer engineers to drive remediations
• Plan and carry out threat modeling activities and realistic threat simulations across our offerings
• Conduct cybersecurity evaluations and lead AI security assessments in a cross-functional environment
• Develop initiatives that improve our capabilities to effectively evaluate AI systems and enhance the organization's prevention, detection, response, and threat hunting capabilities
• Provide guidance and education to developers to help deter and prevent threats

Qualifications
• Hands-on coding and prompting experience.
• Bachelor of Science or Master of Science in Computer Science or a related field, or equivalent experience
• Be a technical and process subject matter expert regarding AI security services and attacker tactics, techniques, and procedures
• Good understanding of LLMs, AI architecture patterns, machine learning models, and related technologies such as MCP
• Understanding of application security principles and secure coding

About Cognizant’s Quality Engineering & Assurance Team

Our Quality Engineering & Assurance team is the innovative engine at our company. We are a dedicated group of builders and problem-solvers responsible for the most critical, customer-facing platforms. Within this team, the Quality practice is not a downstream function but a fully integrated partner in development. Our mission is to embed quality into every stage of the lifecycle, and as a Quality Engineer, you will be on the front lines of this effort.

Position Overview

Are you a driven Quality Engineer passionate about building the future of testing? We are seeking a creative and hands-on QE to be a key contributor to our quality practice. This is an exciting opportunity to move beyond traditional QA and dive into the world of AI-driven testing, helping us build and maintain robust quality standards for our mission-critical intelligent applications that are redefining customer interaction.

Key Responsibilities

Design, develop, and maintain test automation frameworks using Java and Python. Write clean, efficient, and scalable automation scripts for new features to ensure robust test coverage across all deliverables.

Perform API testing: Understand API concepts, develop and execute functional tests, interpret Swagger YAML files, and validate endpoints using Postman or Rest Assured automation frameworks.

Conduct database testing: Write and execute SQL queries to retrieve, update, and delete data, ensuring database integrity and reliability.

Own quality for assigned features and components: Collaborate with product managers and developers on requirements analysis, create detailed test cases, execute comprehensive test suites (functional, integration, regression), and provide final quality sign-off.

Track and report testing progress: Use tools such as JIRA, ADO, or ALM for defect logging and reporting, ensuring transparency of feature quality to the team and stakeholders. Also understanding o

LLM & GenAI Research Engineer job in Chicago, IL

Are you passionate about advancing the frontiers of artificial intelligence and natural language processing? We are seeking a skilled LLM & GenAI Research Engineer to join our innovative team in Chicago, IL. This role offers a unique opportunity to work on cutting-edge large language models and generative AI technologies that are transforming industries worldwide. If you thrive in a collaborative research environment and are driven by solving complex AI challenges, this position is perfect for you.

Drive Innovation in Large Language Models and Generative AI

A leading AI-focused company in Chicago is looking for an LLM & GenAI Research Engineer to spearhead the development and optimization of next-generation language models. The ideal candidate will have deep expertise in machine learning, natural language processing, and scalable AI systems. If you are excited by the challenge of pushing the boundaries of generative AI and delivering impactful solutions, join us to shape the future of intelligent technologies.

Key Responsibilities of the LLM & GenAI Research Engineer

Research & Development: Design, develop, and optimize large language models (LLMs) and generative AI systems to advance state-of-the-art natural language processing capabilities. Conduct experiments, analyze model performance, and iterate to enhance accuracy, efficiency, and scalability.

Algorithm Innovation: Develop novel machine learning algorithms and architectures tailored to generative AI applications. Stay updated on the latest AI research and integrate cutting-edge techniques to improve model robustness and creativity.

Data Engineering & Management: Collaborate with data scientists and engineers to curate, preprocess, and manage large-scale datasets essential for training LLMs. Ensure data quality, diversity, and ethical sourcing standards are met.

Model Training & Deployment: Lead the end-to-end lifecycle of AI models from prototyping and

Description

4 Days in the office from any of our locations in Johnston RI, Iselin NJ, Westwood or Medford MA, or Phoenix AZ

Role is not relocation eligible.

Senior AI Software Engineer (Agentic AI / AI Agents)

About the Role

We are seeking a hands-on, results-driven Senior AI Software Engineer to build and scale Agentic AI capabilities—AI systems that can plan, act, and complete tasks through tool use and workflow orchestration—across enterprise platforms. This role is pivotal in delivering secure, reliable, and compliant AI Agents that integrate into customer and colleague journeys, accelerate time-to-market, and improve operational efficiency.

You will operate at the intersection of software engineering and applied AI, owning end-to-end delivery—from architecture and implementation to deployment, observability, and operational excellence.

Key Responsibilities

Build and Operate AI Agents (Agentic AI Engineering)

• Design and implement AI Agent architectures (planner/executor patterns, multi-step reasoning flows, tool-use orchestration) to execute business tasks end-to-end.

• Build tooling and integrations for agents (APIs, internal services, data tools, workflow engines), including secure action execution, approvals, and guardrails.

• Engineer agent behaviors for reliability: deterministic fallbacks, bounded autonomy, retries, idempotency, and safe failure modes for partial completion.

Agent Platforms, Reuse, and Scale

• Develop reusable agent frameworks and components: shared tool registry, prompt/tool contracts, agent memory strategies, policy enforcement, and standardized observability.

• Enable teams to embed agents into multiple products/channels via SDKs, reference implementations, and well-defined APIs, reducing duplication and improving consistency.

• Implement evaluation pipelines for agents: task success rate, tool-call accuracy, groundedness, latency/cost, and regression testing across agent versions.

• Build production-grade RAG pipeline

About the position

We’re looking for a Data & LLM Systems Engineer to help us design, build, and operate the systems that sit at the intersection of hardware design, data, applications, and large language models (LLMs).\nIn this role, you’ll own how data flows from raw inputs into structured systems, how that data is exposed through our suite of applications, and how LLM interactions are instrumented, analyzed, and improved over time. You’ll work closely with our GenAI, Platform, and Infrastructure teams to ensure DRCY is reliable, observable, and continuously getting better.\nThis is not a research-only role and not a frontend-only role. It’s a hands-on engineering position focused on building real systems that people and products depend on.

Responsibilities

Design, build, and maintain data pipelines for ingesting, cleaning, transforming, and storing dataDefine and evolve data schemas that support analytics, applications, and LLM workflowsWork with relational databases, analytical data stores, and vector databasesEnsure data reliability, performance, and cost efficiencyImplement best practices around data versioning, lineage, and access controlBuild backend services and APIs that expose data to internal tools and user-facing applicationsDevelop applications and internal tooling for managing datasets, experiments, prompts, and configurationsCollaborate with product and design to ensure tools are usable, safe, and scalableSupport both real-time and batch processing workflowsDesign systems that track prompt versions, context construction, and model configurationsInstrument LLM interactions to capture inputs, outputs, metadata, latency, and costHelp establish standards for monitoring, debugging, and evaluating LLM behavior in productionAnalyze LLM outputs and user interactions to identify failure modes, drift, and quality issues and help ensure overall reliability and consistencyDefine and track metrics related to response quality, task success, and user outcomesRun

A global technology leader based in Boston is seeking a Machine Learning Engineer to focus on optimizing model algorithms for AI applications. The role involves collaboration with product and research teams to develop efficient training and deployment pipelines. Candidates should have a strong understanding of machine learning, deep learning, and proficiency in Python, along with relevant educational qualifications.

This position offers comprehensive benefits and adheres to open-source principles.

The Computational Health Informatics Program (www.chip.org) at Boston Children’s Hospital, a Harvard Medical School affiliate, is seeking an experienced Machine Learning Engineer to join the SMART Health IT team (http://smarthealthit.org). In this role, you will design, build, and deploy LLM pipelines that operate on real-world clinical data and support model validation and care delivery at scale. You will join the team that helped define national standards for healthcare data APIs and population-scale clinical data exchange, and that maintains widely adopted open-source platforms used by hospitals, researchers, and technology partners worldwide. Your work will sit at the center of healthcare data innovation, translating modern AI methods into durable, production-grade tools used in clinical environments.

Key Responsibilities

Develop repeatable pipelines in Python using pandas, scikit-learn, and other statistical tools for data structuring, extraction and validation.
Develop, analyze, and interpret large clinical text datasets using the latest natural language processing (NLP/LLM) methods to extract and validate insights to support clinical research and predictive modeling.
Query and manage health datasets using SQL on AWS cloud
Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Applies knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose questions, and make discoveries. Using a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generates and tests hypotheses and analyzing and interpreting the results of experiments
With minimal supervision and direction, completes assignments in the required timeframe; consistently adhering to and promoting standard operating proced

Where Data Does More. Join the Snowflake team.
As a Lead Engineer for the AI Enterprise team at Snowflake, you lead our AI Forward Deployed Engineering team, working directly with customers and our product team to design and implement cutting-edge AI solutions on the Data Cloud. You will leverage your expertise in software development to create scalable systems, including retrieval-augmented generation, LLM-powered agents, and real-time ML pipelines. This role combines technical innovation with practical implementation to drive customer success.
IN THIS ROLE AT SNOWFLAKE, YOU WILL:
*
Lead and drive implementation of Snowflake data solutions, providing expert guidance and translating business needs into actionable solutions
*
Design and develop advanced AI and ML solutions using Snowflake Cortex and Snowflake ML
*
Collaborate on data pipelines and governance frameworks while leveraging advanced analytics capabilities
*
Engage with clients as primary technical point of contact, effectively communicating complex concepts
*
Mentor team members and contribute to fostering a high-performance culture
*
Drive innovation and continuous improvement in our AI solutions and methodologies
WE WOULD LOVE TO HEAR FROM YOU IF YOU HAVE:
*
B.Sc. in Computer Science
*
10+ years of software development experience
*
Deep expertise in AI/ML technologies and implementation
*
Strong project management and delivery capabilities
*
Excellent communication and stakeholder management skills
*
Proven track record of technical leadership and mentoring

WHY JOIN OUR TEAM AT SNOWFLAKE?
Join our innovative AI Forward Deployed Engineering team where you'll work on cutting-edge technologies that shape the future of data and AI solutions. You'll have the opportunity to solve complex technical challenges while working directly with customers to deliver impactful solutions. Our team combines technical excellence with practical implementation, offering you the chance to grow your expertise while contribut

Role Overview

As a member of the core AV software reliability team , you will be responsible for ensuring safe, stable, and scalable Autonomous Vehicle (AV) software releases by turning failures into actionable engineering insights at scale.

This is a software-first, platform-focused role. You will work primarily across the AV platform software stack (frameworks, runtime, services, orchestration, data pipelines) and its interaction with vehicle hardware and compute —not cloud infrastructure or hardware design.

The mission of this role is to:
• Improve learning velocity from failures
• Reduce reliability escapes
• Increase confidence in production readiness

You will do this through intelligent triage, deep software debugging, and AI-assisted failure analysis across simulation, CI, HIL, SIL, and on-road environments , ensuring that failures are:
• Correctly detected and interpreted
• Consistently categorized and de-duplicated
• Rapidly mapped to the right owners and solution space

You will collaborate closely with AV software engineers, ML engineers, systems engineers, test platform owners, and release/safety stakeholders to ensure reliability signals directly influence engineering priorities and release decisions .

If you are passionate about software reliability, failure analysis, and building AI-driven systems that help organizations learn faster from complex ML-based AV software, this role is for you.

Key Responsibilities
• Own the AV software reliability triage framework for the on-vehicle / AV platform stack, defining how failures from simulation, CI, HIL/SIL, and on-road validation are detected, grouped, and escalated into actionable tickets and insights.
• Perform deep debugging and root-cause analysis across:
• AV platform and framework code
• Perception / planning / control software integrations
• ML pipelines and model rollouts
• Vehicle compute and hardware interfaces (sensors, ECUs, networks)
Connecting failure symptoms (logs, time-series, traces)

AI/ML engineer/Architect - Gemini App Developer

Chicago IL

We need AI/ML engineer/Architect with hands on exp in Gemini app development

Gemini App dev-JD :
• As an AI Agent Integration developer you will be responsible for designs, builds, and deploying intelligent AI agents that perform autonomous tasks such as reasoning, planning, decision-making, and interaction.
• These agents often leverage large language models (LLMs) and integrate into applications like chatbots, automation tools, or SaaS applications.
• You will be responsible in working closely with business users and application teams in developing and deploying AI agents using Enterprise AI tools such as Google Gemini, DevRev and Sierra.
You will also act as a subject matter expert and provide guidance, thought leadership, brainstorming and ideas on how to improve and make agents better or improve flows to applications and data that
the AI agent will leverage.

Software Development Engineer in Test (SDET) 💰 Salary: $123,000 - 163,000 per year

At Kforce Technology Staffing we are looking for a QA, Test engineer!

🛠️ Our tech stack:
AI, AWS, Cloud, Data Warehouse, ETL, Java, LESS, SQL, Snowflake, Tableau, pandas, Tester

📝 Rquirements:
- Degree or equivalent experience in Computer Science, Information Technology, or a related field
- Over 7 years of expertise in Software Quality Engineering and Automation
- Strong grasp of Quality Engineering methodologies and the Software Development Lifecycle
- Proven experience in developing and maintaining automated test frameworks
- Proficient in SQL along with knowledge of databases and data warehouses
- Required expertise in ETL and ELT development
- Experience with Business Intelligence reporting using PowerBI
- Familiarity with Data Models, including relational and dimensional models
- Background with various database technologies; experience with Snowflake is preferable
- Understanding of reporting tools like Tableau and OBIEE is advantageous
- Experience working with Data Lakes
- Preferred programming knowledge in Java
- Extensive experience with test automation tools and frameworks such as Behave and pandas
- Required knowledge of AWS cloud technologies
- Familiarity with Continuous Integration/Continuous Deployment (CI/CD) and software version control
- Ability to contribute to our QA automation strategy for applications
- Experience in requirement analysis, defect tracking, and test reporting
- Prior experience in an agile Scrum development environment
- Financial Services sector experience is preferred but not mandatory
- Solid technical skills for problem-solving and root cause analysis
- Exceptional written and verbal communication abilities
- Capable of effective communication with tech leads, team members, and chapter leads
- Open-minded, supportive of team growth, and quick to learn new technologies

👩‍💻👨‍💻 Your responsibilities are:
- Actively engage in the development

About Oversight

Oversight is the world’s leading provider of AI-based spend management and risk mitigation solutions for large enterprises. Based in Atlanta, GA, Oversight works with many of the world’s most innovative companies and government agencies to digitally transform their spend audit and financial control processes.

Oversight’s AI-powered platform works across our customers’ financial systems to continuously monitor and analyze all spend transactions for fraud, waste, and misuse. With a consolidated, consistent view of risk across their enterprise, customers can prevent financial loss and optimize spend while strengthening the controls that improve compliance. Learn More.

Position Overview:

We are seeking a skilled and forward-looking ML Engineer with experience in Large Language Models (LLMs), generative AI, and agentic architectures to join our growing R&D and Applied AI team. This role is critical in helping Oversight deliver the next generation of agentic AI systems for enterprise spend management and risk controls.

The ideal candidate has a strong foundation in machine learning, modern deep learning frameworks, and data pipelines, coupled with hands-on experience experimenting with LLMs, small language models (SLMs), multi-agent frameworks, and retrieval-augmented generation (RAG).

You will work closely with AI/ML researchers, data engineers, and product teams to design, implement, and optimize models that power autonomous exception resolution, anomaly detection, and explainable insights. This is a hands-on engineering role where you will not only build and scale ML systems but also actively contribute to cutting-edge applied research in agentic AI.
Core ML/LLM Engineering
• Contribute to the design, training, fine-tuning, and deployment of ML/LLM models for production.
• Implement RAG pipelines using vector databases.
• Work with frameworks like LangChain, LangGraph, MCP to prototype and optimize multi-agent workflows.
• Develop prompt engineeri

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Octans Group LLC, is seeking the following. Apply via Dice today!
• *Must be local to GA
• *Job Title:
• *Sr.

Python

Full-Stack Engineer (AI/LLM /**
• Autonomous Agents
• )
• *Location:
• *GA - Must be local
• *Job Summary:**

We are seeking a Python Full-Stack Engineer with strong experience in AI/LLM-based solutions to build intelligent automation systems and autonomous agents. The ideal candidate will develop end-to-end applications integrating OpenAI models, Co-Pilot-style experiences, and scalable backend/frontend architectures to streamline business workflows.
• *Key Responsibilities:
• Build and deploy Python-based full-stack applications with AI capabilities
• Develop and orchestrate autonomous agents for workflow automation
• Integrate OpenAI/LLM models for reasoning, summarization, and decisioning
• Design REST APIs and scalable backend services
• Create intuitive front-end interfaces (React/Angular) for AI-driven apps
• Implement automation pipelines, schedulers, and event-driven systems
• Work with MCP/MKS environments for configurations and pipelines
• *Required Skills:
• Strong Python + full-stack development experience
• Hands-on with OpenAI/LLM applications and agent frameworks
• Experience with APIs, microservices, and async processing
• Knowledge of agent orchestration, prompt engineering, and automation
• Experience with React/Angular (or similar)
• Familiarity with MCP/MKS environments is a plus
• *Nice to Have:**
• Experience with Co-Pilot frameworks and AI-driven UX
• Background in enterprise workflow automation and scalable systems

You can also apply with your updated resume at
Full Name

Current Location

Work Authorization

Availability

Tivara

Tivara is building AI agents that take care of the complex, behind-the-scenes operations for large specialty clinics, allowing doctors to focus on delivering optimal care (not phone calls). Demand from clinics is already outpacing our capacity, and every feature you ship directly accelerates our growth.

We’re a 4 person founding team in New York City, backed by Y Combinator, Mischief VC, and Day One Ventures. If you’re excited about building ambitious technology that makes healthcare a frictionless experience, we’d love to talk.

The Role

As a founding engineer, you’ll be working directly with the CTO to design and build the core systems that power our AI agents. You’ll own entire features across the stack and help set the technical and cultural foundation of Tivara.

Some of the problems you might tackle:
• Voice AI Architecture - Build the core platform connecting telephony, LLMs, and models to power thousands of low-latency patient ↔ agent conversations. You’ll be pushing the limits of Voice AI infrastructure in a fast-evolving space
• AI-Native Post-Call Workflows - Automate what happens after a call, from charting to scheduling. You’ll design evaluation frameworks and ship production-ready AI agents that form the backbone of our “agentic workforce.”

This is a true zero-to-one opportunity: your work will be foundational, highly visible, and directly tied to millions in revenue.

What We’re Looking For
• Builder mindset: You love shipping, iterating, and learning from real users.
• Collaborative Energy: You thrive in-person, working shoulder-to-shoulder with founders in our NYC office (5 days/week)
• Technical craftsmanship: You care about performance, reliability, and building systems that scale.
• Low-ego, high ownership: You’re kind, direct, and solutions-oriented.

Our Values
• Customer obsessed: We build with patient experience in mind.
• Extreme ownership: Things break, we fix them fast, no blame.
• Always learning: Our AI learns daily, and so do

Our company:

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

What You Will Do:

In this role, you will be part of Teradata’s Product Engineering leadership team and will lead the next gen agentic architecture for AI across Teradata’s data and analytics platform. You will be a critical force in defining how Teradata evolves to deliver intelligent, scalable, and secure AI capabilities tightly integrated into our hybrid cloud platform.

Your work will shape the AI architectural direction for Teradata’s analytics and applications stack, ensuring that our platform natively supports advanced AI-driven use cases for enterprises. You will design modern, modular solutions across multi-cloud and on-prem environments, integrating agentic AI, generative AI, open data formats, and real-time streaming into Teradata’s portfolio. Your leadership will enable Teradata to maintain its position as the most trusted, enterprise-grade data and AI platform in the world.

In this role, you will:

+ Architect Teradata’s foundational AI strategy – driving capabilities that enable agentic AI, GenAI, and advanced analytics on the Teradata VantageCloud platform.

+ Design scalable, performant AI-driven architectures using open table formats (Iceberg, Delta), query engines (Trino, Presto, Spark), and event streaming (Kafka, Pulsar).

+ Integrate AI into Teradata’s products, including orchestration, context management, and long-running workflows with frameworks like LangChain, Semantic Kernel, and connectors to Amazon Bedrock, Azure Open

GFT es una compania pionera en transformacion digital. Disenamos soluciones de negocio centradas en la inteligencia artificial (AI-Centric), modernizamos infraestructuras de TI y desarrollamos sistemas core de nueva generacion para lideres del sector bancario, asegurador e industrial. En estrecha colaboracion con nuestros clientes, desafiamos los limites para ayudarles a alcanzar todo su potencial.

Que estamos buscando?

Actualmente tenemos un puesto vacante para un/a QA Senior Engineer con experiencia en banca y en integracion de sistemas y pruebas funcionales, que quiera unirse a GFT. Buscamos una persona entusiasta y dinamica dispuesta a empezar y crecer en un entorno multicultural, motivador y desafiante.

Tus principales responsabilidades seran:
• Diseno de estrategias y planes de prueba: Definir la estrategia de testing y establecer metricas de calidad y criterios de aceptacion.
• Automatizacion de pruebas: desarrollar y mantener scripts de test automatizados con Playwright.
• Y integrar las pruebas en pipelines de CI/CD (por ejemplo, Jenkins, GitHub Actions, GitLab CI).
• Pruebas funcionales y no funcionales
• Gestion de defectos: detectar, documentar y hacer seguimiento de bugs. Y colaborar con el equipo de desarrollo para diagnosticar y resolver problemas.

Requisitos:
• Lenguajes: Python, JavaScript, Java, o similar.
• Herramientas de test: Playwright.
• Control de versiones.
• CI/CD: Jenkins, GitHub Actions, GitLab CI.
• Deseable Ingles B2.

Competencias personales:
• Habilidades de analisis.
• Trabajo en equipo.
• Proactividad.

En GFT consideramos que la diversidad es uno de nuestros pilares fundamentales y promovemos un entorno de trabajo inclusivo basado en la cooperacion y el respeto mutuo. Ofrecemos igualdad de oportunidades a todas las personas sin tener en cuenta su raza, origen cultural, sexo, edad, orientacion sexual, identidad de genero, discapacidad o creencias religiosas.

GFT dispone y ha registrado un Plan de Igualdad que recoge las medida

About the role

As a Senior QA Automation Engineer with Playwright with Typescript experience, you will make an impact by ensuring high quality software releases through robust test strategy, hands on automation, and close collaboration with cross functional teams. You will be a valued member of the delivery team and work collaboratively with Product Owners, developers, and business stakeholders to drive quality across the software development lifecycle.

In this role, you will:
• Lead and support release testing activities, ensuring quality and readiness for production deployments
• Collaborate closely with Product Owners, developers, and stakeholders to understand requirements and define test coverage
• Develop, enhance, execute, and debug automated test scripts using Playwright and TypeScript
• Design and execute manual test scenarios and test cases where automation is not applicable
• Define and maintain test strategies, test plans, and testing estimates aligned with Agile delivery practices

Work model
At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work life balance through our various wellbeing programs. Based on this role’s business requirements, this is an onsite position requiring a minimum of 3 days a week in a Cognizant or client office in Fort Mill, SC.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured, we will always be clear about role expectations.

What you need to have to be considered
• 7+ years of experience in Quality Assurance with a strong foundation in Agile practices
• Proven expertise in writing, enhancing, executing, and debugging automated tests using Playwright
• Strong hands on experience with TypeScript
• Exposure to or hands on experience with LLM models and Amazon Bedrock
• Solid experience in manual testing, including test scenario and t

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Software Engineer in Charlotte, NC (Hybrid).

Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.

Contract Duration: 12 Months

Required Skills & Experience
• 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
• 3+ years of test automation using Selenium, Cucumber, or Karate
• Experience with Python, Java, or C#

What You Will Be Doing
• Provide process design and technical evaluation of product intake items related to internal open source - harvest, market, and document solutions our partners have built to accelerate adoption of test automation with a focus on AI-assisted testing.
• Required to keep up with rapidly increased pace of line of business solutioning and the need to align it with enterprise strategy and scale.
• Consult on or participate in moderately complex initiatives and deliverables within Software Engineering and contribute to large-scale planning related to Software Engineering deliverables. Review and analyze moderately complex Software Engineering challenges that require an in-depth evaluation of variable factors. Contribute to the resolution of moderately complex issues and consult with others to meet Software Engineering deliverables while leveraging solid understanding of the function, policies, procedures, and compliance requirements. Collaborate with client personnel in Software Engineering.

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.

With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.

At CI&T, we are seeking a highly skilled and motivated SDET (Software Development Engineer in Test) to join our team. You will contribute to an innovative project in a collaborative, innovative, transforming, and multicultural environment, ensuring software quality, reliability, and performance.

Position Overview:

As an SDET, you will play a critical role in designing and executing robust automated and manual testing strategies. Your primary responsibility will be to bridge the gap between development and testing, collaborating closely with cross-functional teams throughout the product lifecycle to ensure quality is embedded from the early stages.

Key Responsibilities:

- Design, develop, and maintain scalable test automation frameworks and scripts.

- Create and execute comprehensive test plans and scenarios across multiple applications and platforms.

- Implement performance, load, and stress testing to validate system stability and scalability.

- Collaborate within agile teams to define and evolve test strategies, standards, and QA best practices.

- Identify, document, and track defects, working closely with developers to ensure timely and effective resolution.

- Analyze test results and quality trends, proposing continuous improvement initiatives to enhance project outcomes.

- Conduct root cause analysis and support the leadership team in Quality Analysis across the Value Stream.

Required Skills and Qualifications

Must-have Skills:

- Proven experience as a QA Engineer or SDET.

- Strong programming skills in at least one language (Java, C#, Python, or JavaScript).

- Hands-on experience with automation tools (Selenium, Cypress, TestNG, or JUnit).

- Proficiency with API testing to

About the Role

We are seeking a Lead ML Engineer, LLM Post-Training Infrastructure to join the Salesforce AI Research Incubation Team. In this role, you will own the infrastructure and engineering systems that support LLM post-training, large-scale evaluation, and model deployment. You will build scalable, reliable

pipelines for training orchestration, rollout generation, reward and feedback pipelines, experiment management, and model iteration, helping translate research ideas into production-grade systems.

This is an engineering-first role focused on ML infrastructure, distributed systems, and training/evaluation workflows rather than developing new model architectures or algorithms. You will work closely with research scientists, agent engineers, and platform teams to operationalize post-training and feedback-driven learning methods into robust, reusable systems.This is a lead-level individual contributor role with deep ownership of model-facing infrastructure and strong cross-functional influence.

Key Responsibilities:

● Design, build, and maintain infrastructure for LLM post-training, evaluation, and

deployment.

● Own scalable pipelines for training orchestration, rollout generation, reward and

feedback processing, checkpointing, and experiment management.

● Build reliable systems for feedback-driven model improvement, including human or AI

feedback loops, large-scale offline evaluation, and regression detection.

● Partner closely with research scientists to turn new post-training methods into reusable

engineering workflows.

● Collaborate with agent engineers and platform teams to integrate training and evaluation

systems with production model and agent stacks.

● Optimize distributed training and inference workloads for reliability, throughput, cost

efficiency, and observability.

● Drive best practices for reproducibility, versioning, monitoring, deployment, and

operational excellence across ML systems.

Required Qualifications:

● 5+ years of

Job Description Responsible for serving as a senior technical leader driving the design, development, and deployment of advanced AI solutions that address complex business challenges. Provides deep expertise across domains such as computer vision, natural language processing, recommendation systems, and predictive analytics, while setting strategic direction, establishing best practices, and influencing cross-functional teams to maximize the impact of AI initiatives. The role is onsite, 5 days/week in Irvine, CA. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

To learn more about how we collect, keep, and process your private information, please review

Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements Minimum five (5) + years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. Two (2) + years' experience in Python, PyTorch, TensorFlow, or other machine learning frameworks. Must have advance knowledge and experience with C#. Proven experience applying large language models (LLMs), generative AI, or OSS agent-based frameworks to busine

Apple builds products that are loved by people around the world-products that enrich lives by making powerful technology feel simple, intuitive, and accessible. Through deep integration of hardware, software, services, and design, we deliver end-to-end experiences that fit naturally into everyday life and work seamlessly across your devices and data. This is where ambitious ideas become real products, shipped at global scale and trusted by millions, and increasingly billions, of people.

We’re building Apple Intelligence to be the most personalized and integrated intelligence on the planet. Apple is a company people trust with their most personal information-from everyday communication to photos, health, and fitness-enabling us to build highly contextual experiences with uncompromising privacy & security. We’re looking for software engineers to build experiences that harness cutting-edge technologies like AI, machine learning, and computer vision to solve difficult, high-impact problems at scale, in ways that feel effortless to our users. Our work sits at the intersection of AI, system software, and user experience, and aims to create features you’d genuinely want to use. This is a rare opportunity to get in on the ground floor of something that will redefine how millions of people interact with their devices, while upholding Apple’s core values of privacy, accessibility, and inclusion.

Description

In this role, you will work across the stack - from the system software and frameworks to end-user interfaces - to build Apple Intelligence features that enrich people’s lives. This is a highly cross-functional role working with design, algorithms, software, services, privacy, security, performance, and sometimes even HW / Silicon teams across Apple to engineer end-to-end solutions.

You will need to work quickly and creatively to help demonstrate the viability of ideas and technologies while building robust, production-ready systems that millions of users will depend o

Job Role: Senior QA Automation Engineer (TEMP TO HIRE)
Mode: temp to hire, so no visa or 1099 options considered
Location: remote - CB bases FTE offers on cost of living metrics
Duration: 4 Months.

Profile:
• Senior QA engineer with AWS expertise, strong analytical and problem-solving skills, ability to analyze complex feature requirements, automate testing processes, and drive efficiencies, can work independently with minimum guidance.

Skills Required:
• AWS - Dynamo - 4 Years
• AWS - Lambda - 4 Years
• AWS - S3 - 4 Years
• AWS - SNS/SQS - 4 Years
• Manual testing of backend - 4 Years
• Test data setup - 4 Years
• Documentation of Test Scenarios - 4 Years
• Writing Automation tests - 4 Years
• Maintaining automation framework - 4 Years
• Typescript - 4 Years
• Cucumber - 4 Years
• node.js Development *distinguish coding or NPM - 3 Years
• React.js - 1 Years
• GitHub - 3 Years
• AI tools such as GitHub copilot - 2 Years
• Automated Device browser testing - 2 Years
• Postman/API integration testing - 3 Years

About the Team:
• We are a team of technologists working together to solve complex technical problems and develop innovative solutions.
• Embracing a culture of continuous improvement, we look for ways to incorporate new technologies in the delivery of systems that are responsible for analysis and scoring of tests of SAT/PSAT and AP programs, all with the singular purpose of providing comprehensive assessments to millions of students.
• We regularly collaborate while pitching and sharing our ideas to help define the future of our applications. Our team is characterized by our positive team culture, strong technical skills, focus on delivering value and our ability to have fun while being productive.

About the Opportunity:
• As a Senior Engineer (Senior QA Automation Engineer) focused on quality, you are responsible for ensuring the quality and reliability of key scoring capabilities of ***'s assessments through advanced testing strategies, automation framewor

About the Role:

Grade Level (for internal use):
13

S&P Global Ratings

The role: Director Software Development Engineer in Test

The Team:

This Director-level role leads the Enginuity-X team (Engineering Excellence) within the S&P Global Ratings Engineering organization. You will drive strategic Quality Engineering (QE) transformation, aligning automation, performance, security, AI, and usability with business outcomes.

As a key enabler of Engineering Excellence, you will work horizontally across delivery ARTs, partnering with cross-functional areas to deliver quality at scale.

Key Responsibilities
• Automation Strategy: Define and implement enterprise-wide automation frameworks integrated with CI/CD pipelines for scalability and maintainability.
• Performance Engineering: Establish standards and frameworks for performance, reliability, and scalability testing.
• Security & Compliance: Drive secure engineering practices, including security testing, threat modeling, and vulnerability assessments.
• Non-Functional Testing: Build capabilities for observability, resilience, data integrity validation, and regulatory compliance.
• AI-Driven Quality: Advance agentic AI platforms for predictive and autonomous testing, leveraging ML for defect prediction and risk-based testing.
• People Leadership: Lead and mentor a high-performing team, fostering innovation, collaboration, and continuous learning.
• Cross-Functional Alignment: Partner with Product, Architecture, and Delivery leaders to embed quality practices into engineering workflows.
• Governance & Metrics: Define KPIs and quality metrics to measure automation, performance, and security effectiveness; report outcomes to senior leadership.
• Talent Enablement: Develop career paths, training programs, and certification strategies to build future-ready QE talent.
• Usability & Accessibility: Champion inclusive product experiences by promoting usability and accessibility standards.

Required Skills & Experience
• 15+ ye

Senior Software Development Engineer in Test (SDET)

About Us:
At Fullbay, our mission is simple — to create safer roads for our families and yours. As leaders in the heavy-duty repair industry, we power shops with technology that helps them run smarter and more efficiently. As an AI-First company, we invite artificial intelligence to eliminate friction, spark innovation, and drive efficiencies in every conversation— for our teams and our customers. Fullbay is the number one cloud-based shop management software for commercial repair shops and is growing fast. This is an exciting opportunity to join a high-performing team and help shape the next phase of growth for the company.

Position Overview:

The Sr. SDET will design the test cases, automate both front and back end tests, code the tests, and be able to execute and test software functions and modules, based on Product requirements. The role creates the vision for how tests are created, reviewed, tested, inspected and submitted to production to be made available for use in Staging and Production environments and asking questions, developing test solutions, and engaging with key stakeholders to refine approaches. The successful candidate will write complete, efficient, and well-commented code that meets customer experience needs and project requirements including modifying and creating new frameworks. They will also create API and feature tests to ensure compliance with performance, scalability, and security standards. Additionally, the engineer will address bugs within the product, continuously learn, and explore in-depth project requirements.

Primary Duties & Responsibilities:

Test Development: Develop a deep understanding of the product, application, and platform to identify testing strengths and gaps. Design and implement tests to build a comprehensive test suite, including regression tests, ensuring high product quality.
Test Automation: Expected to develop automation and work with the team to automate appr

Who We Are

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips - the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world - like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.

What We Offer

Salary:
$108,000.00 - $148,500.00

Location:
Chandler,AZ

You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.

As a Software Engineer at Applied Materials, you'll dive deep into ground-breaking technologies-like machine learning and AI-to craft novel software solutions that solve our customers' high-value problems. Our Software Engineers are responsible for designing, prototyping, developing, and debugging software solutions for semiconductor equipment components and devices to ensure quality and functionality. You'll develop software documentation and test procedures, troubleshoot software problems, and communicate with internal customers to understand project requirements. As part of our team, you'll contribute your expertise in intricate systems, deciphering c

We are looking for a seasoned Senior Software Engineer – Test Automation (QA) to join our Digital Frameworks team. In this role, you'll drive the future of test engineering by contributing to core automation initiatives and enabling frameworks, tools, and platforms that accelerate quality across our product teams.
This is not a traditional QA role. We're looking for a full-stack automation expert who is passionate about tooling, platforms, and frameworks, capable of evaluating cutting-edge solutions—including low-code/no-code test tools, building PoCs, and influencing architecture-level decisions.
Our application stack includes Java/Spring Boot microservices on the backend and Next.js/React on the frontend, all deployed to Azure Kubernetes Service (AKS).

Key Responsibilities
• Architect and maintain reusable automation frameworks for backend (API/microservices) and frontend (UI) testing.
• Research, evaluate, and introduce modern test automation tools (e.g., low-code/no-code, model-based testing, AI-powered test platforms).
• Lead proof-of-concepts (PoCs) for new tools and frameworks to assess fit for the organization.
• Build shared quality tooling and pipelines to be used across teams (test orchestration, data setup, mocks/stubs, parallelization, etc.).
• Collaborate with platform, DevOps, and product engineering teams to shift quality left and define testability patterns.
• Establish automation standards, coding guidelines, and governance models for cross-team reuse.
• Actively mentor junior engineers and guide teams in adopting quality engineering best practices.

What You Bring: Skills and Expertise
• 10+ years of experience in Quality Engineering, with deep expertise in test automation.
• Strong programming skills in Java (Spring Boot stack) and JavaScript/TypeScript (React/Next.js).
• Experience building automation frameworks using JUnit/TestNG, Cypress, Playwright, Selenium, etc.
• Proficiency in evaluating and implementing tools for test case management, t

We are seeking a SDET to join our client's team to drive innovation in AI-powered test automation. This role focuses on building and maintaining intelligent test automation infrastructure on AWS and CloudBees, with emphasis on self-healing scripts and AI-driven testing solutions. This is a great pportunity to work with cutting-edge AI and automation technologies.

Key Responsibilities
- Design, develop, and maintain automated test scripts and frameworks
- Deploy and configure reliable automation assets in CloudBees CI/CD pipelines
- Troubleshoot and resolve technical issues with automation infrastructure
- Create AI-based automation solutions using AWS Bedrock and frameworks like LangChain
- Integrate AI agents-and solutions with existing automation platforms
- Implement self-healing test scripts and Intelligent Test Automation (ITA) strategies
- Apply context engineering to ensure AI-driven testing relevance and coverage

This position is a contract to permanent opportunity offering a career stability and growth! This position is a hybrid opportunity (1-2x onsite per week in Maryland and/or Wash DC office).-

Required Skills

- Bachelor's degree in Computer Science, IT, or related field is preferred
- 5+ years of experience in software testing and test automation
- Proven experience with AI tools for test generation, refactoring, and self-healing
- Strong understanding of DevOps practices and CI/CD pipelines
- Experience building and scaling testing agents
- Knowledge of context engineering for AI-driven testing
- Experience with modern testing frameworks beyond Selenium
- Background in machine learning or AI applications
- Experience with microservices and containerized applications

Required Technical Skills
- Programming Languages: Python, Java/Selenium, SQL
- AI/ML Frameworks: AWS Bedrock, LangChain, Pandas, and other popular Machine Learning libraries
- Test Automation: Selenium, Playwright, API testing frameworks
- Cloud & DevOps: AWS services, Docker, Kubern

Join to apply for the Senior QA Automation Engineer role at Vazkor Technologies

Join to apply for the Senior QA Automation Engineer role at Vazkor Technologies

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This range is provided by Vazkor Technologies. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range

$80,000.00/yr - $145,000.00/yr

About the role

Responsibilities
• Design, implement, and execute test cases
• Evaluate testing process, make recommendations as necessary
• Timely execution of test cases
• Identify, and record bugs
• Communicate with clients to gather requirements for test cases
• Work with other developers to design unit tests for new features

Qualifications
• Bachelor's degree or equivalent experience in Computer Science
• 3+ years relevant testing experience with testing frameworks like Selenium
• Technical skills in OOP
• Team player
• Experience in .NET development
Seniority level
• Seniority level
Mid-Senior level
Employment type
• Employment type
Full-time
Job function
• Job function
Quality Assurance
• Industries
IT Services and IT Consulting

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North Palm Beach, FL $80,000.00-$110,000.00 3 days ago
Quality Assurance Automation Engineer, S

North Palm Beach, FL $80,000.00-$110,000.00 1 month ago

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A company is looking for a Senior QA Automation Engineer.

Key Responsibilities

Lead the development and implementation of test automation solutions for the gaming industry

Define and execute the technical roadmap for automation initiatives

Act as a technical mentor, guiding team members on automation best practices

Qualifications

Proven hands-on experience in developing and deploying automation solutions in gaming or similar environments

Strong programming skills with the ability to modify and enhance automation frameworks

Experience building or modifying CI / CD pipelines for automated testing

Demonstrated leadership in defining technical strategies and mentoring team members

Knowledge of AI technologies and their application in test automation is a plus

About Cognizant’s Quality Engineering & Assurance Team

Our Quality Engineering & Assurance team is the innovative engine at our company. We are a dedicated group of builders and problem-solvers responsible for the most critical, customer-facing platforms. Within this team, the Quality practice is not a downstream function but a fully integrated partner in development. Our mission is to embed quality into every stage of the lifecycle, and as a Quality Engineer, you will be on the front lines of this effort.

Position Overview

Are you a driven Quality Engineer passionate about building the future of testing? We are seeking a creative and hands-on QE to be a key contributor to our quality practice. This is an exciting opportunity to move beyond traditional QA and dive into the world of AI-driven testing, helping us build and maintain robust quality standards for our mission-critical intelligent applications that are redefining customer interaction.

Key Responsibilities
• Design, develop, and maintain test automation frameworks using Java and Python. Write clean, efficient, and scalable automation scripts for new features to ensure robust test coverage across all deliverables.
• Perform API testing: Understand API concepts, develop and execute functional tests, interpret Swagger YAML files, and validate endpoints using Postman or Rest Assured automation frameworks.
• Conduct database testing: Write and execute SQL queries to retrieve, update, and delete data, ensuring database integrity and reliability.
• Own quality for assigned features and components: Collaborate with product managers and developers on requirements analysis, create detailed test cases, execute comprehensive test suites (functional, integration, regression), and provide final quality sign-off.
• Track and report testing progress: Use tools such as JIRA, ADO, or ALM for defect logging and reporting, ensuring transparency of feature quality to the team and stakeholders. Also understanding of CI/CD co

Software Development Engineer in Test (SDET) job at Reveleer. Remote.

Software Development Engineer in Test (SDET)

Location: Glendale, CA or Remote

Do you like innovation and technology? We do, too. Reveleer is a healthcare software company serving health plans and care management organizations. Our teams are dedicated to disrupting and modernizing healthcare by building powerful technology that provides an amazing user experience, scalability, and automation.

Reveleer is the first of its kind in our space – a self-service platform that mines health data using AI, NLP, and advanced analytics. Our Platform enables health plans to focus on the quality-of-care people receive, leaving the most complex and repetitive tasks for technology to solve. Be part of what Reveleer is building next! General Summary

Reveleer's Technology organization is focused on building and managing our cloud native SaaS platform. We are looking for a talented Software Development Engineer in Test to join our team. The person will work closely with our development and quality assurance teams to create and execute test plans and automation scripts, identify, and report bugs, and ensure the quality of our software applications. The ideal candidate will have a strong background in software development, as well as experience in testing and test automation.

Responsibilities:

· Collaborate with development and quality assurance teams to understand product requirements and develop test plans.

· Create and execute automated and manual test cases for SaaS based web applications.

· Identify and report bugs and work with development teams to resolve them.

· Develop and maintain test automation scripts using modern Java Script based end to end automation tools.

· Contribute towards enhancing and maintaining the automation framework.

· Design, develop and execute automated API tests.

· Perform performance, load, and stress testing to ensure the scalability of our applicatio

A company is looking for a Senior QA Automation Engineer.

Key Responsibilities

Lead the development and implementation of test automation solutions for the gaming industry

Define and execute the technical roadmap for automation initiatives

Act as a technical mentor, guiding team members on automation best practices

Qualifications

Proven hands-on experience in developing and deploying automation solutions in gaming or similar environments

Strong programming skills with the ability to modify and enhance automation frameworks

Experience building or modifying CI / CD pipelines for automated testing

Demonstrated leadership in defining technical strategies and mentoring team members

Knowledge of AI technologies and their application in test automation is a plus

Position Summary

Quality Engineering - Senior Consultant/Specialist Senior-AI & Engineering

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Recruiting for this role ends on 4/6/26.

Work You'll Do

As a Quality Engineering Senior Consultant/Specialist Senior, you will bring considerable technical expertise to deliver effective solutions to clients including the following:
• Acting as the lead, interfacing between clients and our Deloitte teams.
• Helping to create testing solutions to meet our clients business needs.
• Leading the testing of custom technology solutions.

Required Qualifications and Experience
• 6+ years' rel

About the position

Publix Super Markets, Inc., the largest employee-owned company in the U.S., is driven by a dynamic technology team of 2,300+ professionals delivering innovative solutions to 1,400+ stores and 200,000+ associates across 8 states. From IT security and platform engineering to architecture, software development, and infrastructure, we offer career opportunities at every level—internships through technical leadership. Join a company consistently ranked among Fortune’s “100 Best Companies to Work For” and help us build more than great subs—build the future of technology at Publix. Join the Point-of-Sale Modernization team! As a Sr. Quality Assurance Automation Engineer, you will work on a highly complex, cross-platform effort with varying technology solutions (infrastructure, software, middleware, etc). This candidate will work closely with the project team and testers to ensure quality assurance activities are planned, executed, and the results are reported. In addition, the position will be responsible for the creation of automated test cases using industry-standard programming languages. Location: Hybrid (Lakeland, FL) Work Model: Enjoy the best of both worlds—collaborate in person and innovate remotely. Why Join Us? Hybrid Flexibility: Work remotely when you need focus time, and join us onsite for high-impact collaboration and brainstorming sessions. Operational Efficiency: Ensure technology solutions support efficient workflows and enable automation to improve operational effectiveness. Cutting-Edge AI Projects: Drive innovation in AI platforms, integrating advanced tools and frameworks to solve complex business challenges. Empowered Culture: We value autonomy, creativity, and continuous learning—your ideas shape the future of technology in our organization.

Responsibilities
• Perform analysis and development of automated test cases using industry-standard programming languages
• Review project requirements, high-level system designs, and user st

QA organization is transitioning from manual testing toward incorporating test automation
Will define the technical roadmap, evaluating existing technology for a build/buy/reuse strategy, and act as a technical mentor
The position is the second hire for the team, following an automation engineer in Finland, and is intended to be a senior Individual Contributor role with technical leadership responsibilities
The person in this role would be tasked with defining the technical road map for automation, which includes evaluating existing technology to inform the build/buy/reuse strategy
The core function of this role is to be an evangelist for automation, driving the technical strategy across the QA organization and all games projects
Looking for someone to empower the entire QA team to build their own automation by providing them with user interfaces (UIs) and easy-to-use tools, which recognizes that they do not need to be programmers. The role also involves looking at emerging AI technologies to ensure the organization stays current and leverages them to improve existing processes
Candidate must have hands-on experience building and delivering automation solutions specifically in games
This role is a bonafide development and engineering role, requiring proper programming skills, the ability to modify and extend code, and the capability to change CI/CD pipelines.
Interview panel will include technical programming folks to assess their developer expertise and ensure they can contribute to existing technology 

Ready to build the future with AI?
At Genpact, we don't just keep up with technology-we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges.
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment.
Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead.Powered by curiosity, courage, and innovation,our teamsimplementdata, technology, and AItocreate tomorrow, today.Get to know us atgenpact.comand onLinkedIn,X,YouTube, andFacebook.

Inviting applications for the role of Senior Principal Consultant, Automation Testing skills
We are looking for a skilled QA Test Manager with expertise in Automation testing activities. The ideal candidate should learn the practical application of engineering principal and will work with a cross-functional team to deliver/maintain the automation test suite of healthcare applications especially medical devices. Candidate should lead the new technology introduction, problem investigation, platform definition, practical design, and verification/validation.

Responsibilities
Collaborate with cross functional teams in an agile environment to ensure high quality software delivery.
Setting up squish infrastructure for UI related activities
Setting up Jenkins to trigger automation testing.
Run automation cycling framew

Position: Software Development Engineer in Test Lake Oswego, OR, US Posted 20 hours ago
## Software Development Engineer in TestUS - OR, Lake Oswego Job Family Software Development Engineering Test#
• * Revolutionize Software Quality as our next Senior SDET (AI Focus)!
• * Trimble is a global technology company that connects the physical and digital worlds, transforming the ways work gets done. With relentless innovation in precise positioning, modeling and data analytics, Trimble enables essential industries including construction, geospatial and transportation. Whether it's helping customers build and maintain infrastructure, design and construct buildings, optimize global supply chains or map the world, Trimble is at the forefront, driving productivity and progress.
• * AECO:
• * The Trimble AECO segment provides digital construction solutions that increase precision and productivity for Architecture, Engineering, Construction, and Operations.
• * What Makes This Role Great:
• * In this role, you will be at the forefront of integrating AI-driven testing methodologies into our ecosystem, directly influencing the reliability of global construction infrastructure and spearheading the transition to intelligent, automated quality engineering.
• * Key Exciting Responsibilities
• ** Spearhead the integration of AI tools to enhance test case generation, defect prediction, and testing cycle acceleration.
• Architect and maintain robust automation frameworks and CI/CD pipelines to ensure seamless software delivery.
• Evangelize emerging AI testing practices and modern automation techniques across the global QA organization.
• Collaborate with cross-functional agile teams to design high-impact quality procedures for award-winning products.
• Provide data-driven insights and quality metrics that influence critical business decisions and product launches.
• * Essential Skills & Experience
• ** 5+ years of professional experience in software quality assurance or automated test

We are seeking a Lead Software Development Engineer in Test (Lead SDET) to architect and evolve our quality engineering strategy in today's AI-driven development landscape. This role is ideal for engineers who thrive at the intersection of test automation, modern tooling, and applied AI — delivering reliable, scalable, and maintainable quality systems that keep product velocity high while reducing risk.

As a Lead SDET, you'll own and advance our automated testing frameworks, introduce responsible AI-assisted QA practices, mentor engineers across the organization, and raise overall testing maturity across functional, performance, security, accessibility, and AI-enabled product capabilities.

This position can be based out of our HQ in Portland, OR, or remote from anywhere in the U.S.

Essential Responsibilities & Duties:

AI-Driven QA Strategy & Framework Ownership
• * Own and evolve the organization's automated testing framework and QA tooling ecosystem.
• Define and standardize best practices for AI-assisted test case generation, test data generation, and coverage discovery.
• Establish responsible AI guardrails for QA (validation, hallucination mitigation, structured outputs, and review standards).
• Implement intelligent test selection and regression analysis to reduce cycle time without increasing risk.
• Ensure AI-augmented tests remain deterministic, maintainable, and production-ready.

Test Architecture & Automation Excellence
• * Architect scalable automation across unit, integration, API, UI, contract, performance, and security testing.
• Champion modern testing principles (test pyramid / risk-based testing) and ensure each layer of the stack is appropriately tested.
• Integrate automation into CI/CD with enforceable quality gates and release readiness criteria.
• Lead root-cause analysis for systemic quality issues and recurring defects.

AI System Testing & Evaluation
• * Design evaluation frameworks for AI-assisted features (ground-truth testing, determ

Pioneer AI-Driven Quality:
SDET I (Construction Technology) Wanted! Ready to make a tangible impact on global industries using cutting-edge AI? Trimble is looking for a passionate problem-solver like you to join our award-winning construction collaboration team as we grow and bring new features to our world-class products! You will be building a culture where AI-powered tools are fundamental to our workflow, enabling us to innovate faster, write cleaner code, and deliver unparalleled value to our customers. About Us Trimble is a global technology company that connects the physical and digital worlds, transforming the ways work gets done. With relentless innovation in precise positioning, modeling and data analytics, Trimble enables essential industries including construction, geospatial and transportation. Whether it's helping customers build and maintain infrastructure, design and construct buildings, optimize global supply chains or map the world, Trimble is at the forefront, driving productivity and progress. AECO:
The Trimble AECO segment provides digital construction solutions that increase precision and productivity for Architecture, Engineering, Construction, and Operations. What Makes This Role Great:
In this role, you'll be at the forefront of developing automated testing for the Trimble ProjectSight Software, directly influencing the reliability of construction collaboration tools and shaping the future of digital job sites. You will have the unique opportunity to evangelize new automation techniques while leveraging AI-powered development tools to accelerate software release cycles. Key Exciting Responsibilities Accelerate with AI:
Actively leverage AI-powered development tools like GitHub Copilot to enhance code quality and automate routine tasks. Architect Automation:
Design, implement, and maintain cutting-edge automation scripts and frameworks like Selenium to show measurable improvements to released software. Collaborate Across Disciplines:
Partner w

Job Title: Automation Tester

Location : Remote

Required Skills:
• Programming Skills: Proficiency in Java, Python, or JavaScript for test script development.
• Test Automation Tools: Experience with Selenium, Appium, or similar tools for automated testing.
• API Testing: Knowledge of tools like Postman for testing application interfaces.
• CI/CD Integration: Ability to integrate automated tests with CI/CD pipelines using Jenkins or similar tools.
• AI Testing: Understanding of AI testing frameworks and tools for testing machine learning models and AI-driven applications.
• Analytical Thinking: Strong analytical skills for test case design and result interpretation.
• Communication Skills: Clear communication for collaborating with team members and documenting test results.
• Cloud Testing: Minimum 2+ years of experience testing in a cloud environment (GCP preferred). Includes verification of test conditions using backend systems, running SQL queries, navigating cloud storage objects, and checking service responses using tools like SoapUI.
Day-to-Day Responsibilities:
• Developing Automated Testing Frameworks: Design and implement automated testing frameworks to streamline testing processes and improve efficiency.
• Creating Test Scripts: Write and maintain automated test scripts for functional, regression, and performance testing of software applications.
• Integration with CI/CD: Integrate automated tests with CI/CD pipelines to enable continuous testing and deployment.
• Executing Test Cases: Run automated test cases to validate software quality, identify defects, and ensure adherence to requirements.
• Identifying Test Scenarios: Analyze software requirements and user stories to identify test scenarios suitable for automation.
• Maintaining Test Suites: Update and enhance automated test suites to accommodate changes in software functionality and requirements.
• Collaborating with Development Team: Work closely with developers to understand software design and b

Requirements
• Bachelor's Degree or equivalent work experience: Computer Science, Software Engineering or equivalent field. - Required,
• 3+ Years Experience developing test strategies, test plans, and test cases. - Required,
• Create and execute test cases; prepare test setups,
• Conduct regression testing and log/report defects,
• Research/resolve basic production support cases,
• Engage with development for clarifications and issue resolution,
• Use AI tools for basic tests creation, documentation, and analysis,
• Programming or scripting experience (Java, Python, JS, C#, or similar),
• Automation tools/frameworks: Selenium, Cypress, Playwright, Appium, REST-Assured, JMeter, etc,
• Strong understanding of QA methodologies, testing lifecycle, and SDLC,
• Agile methodology, DevSecOps exposure along with CI/CD tools like GitHub Actions, Azure DevOps, Jenkins, etc.,
• SQL proficiency; ability to test web apps, APIs, and systems with minimal UI,
• Experience with JIRA/ALM/Xray or similar tools,
• Comfort using AI-powered testing tools, copilots, and analysis utilities,
• Strong analytical, communication, documentation, and problem-solving skills,
• Ability to manage workload, collaborate in Agile teams, effectively, and work independently,
• (Desirable) Knowledge of QA concepts and test lifecycle,
• (Desirable) Basic SQL; familiarity with ALM/JIRA,
• (Desirable) Basic understanding of mobile development languages (Java/Objective-C/Swift/C#),
• (Desirable) Strong ability to learn quickly and meet deadlines

What the job involves
• The Sr. Specialist, Software Development Engineer in Test (SDET) is responsible for ensuring the quality, reliability, and performance of applications through automation, technical testing, and deep collaboration with engineering teams,
• SDETs combine software development skills with quality engineering practices to design, build, and maintain automated test frameworks, tools, and test suites across UI, API, backend, and integrated systems f

Publix Super Markets, Inc., the largest employee-owned company in the U.S., is driven by a dynamic technology team of 2,300+ professionals delivering innovative solutions to 1,400+ stores and 200,000+ associates across 8 states. 
  
From IT security and platform engineering to architecture, software development, and infrastructure, we offer career opportunities at every level—internships through technical leadership. 
  
Join a company consistently ranked among Fortune’s “100 Best Companies to Work For” and help us build more than great subs—build the future of technology at Publix. 
  
Join the POS Software Engineering team. As a Principal Quality Assurance Engineer, you’ll ensure high-quality technology solutions (infrastructure, software, middleware, etc.). On multiple large and complex projects and inter-related programs, the Principal Quality Assurance Engineer is responsible for all project quality assurance activities, including developing automated test cases for user stories and code scripts using industry-standard programming languages. The Principal Quality Assurance Engineer defines quality assurance processes and testing strategies and mentors all levels of Quality Assurance Engineers as needed.
  
Location: Hybrid (Lakeland, FL)     
Work Model: Enjoy the best of both worlds—collaborate in person and innovate remotely. 
  
Why Join Us? 
• Hybrid Flexibility: Work remotely when you need focus time, and join us onsite for high-impact collaboration and brainstorming sessions.
• Operational Efficiency: Ensure technology solutions support efficient workflows and enable automation to improve operational effectiveness. 
• Cutting-Edge AI Projects: Drive innovation in AI platforms, integrating advanced tools and frameworks to solve complex business challenges.
• Empowered Culture: We value autonomy, creativity, and continuous learning—your ideas shape the future of technology in our organization. 
  
Your Impact:
• Assist in leading an existing team of manual

VetsEZ is seeking a Mid-Level QA / Automation Engineer to support the testing, validation, and quality assurance of web-based applications within the Department of Veterans Affairs (VA) environment. This role is responsible for planning, executing, and maintaining both manual and automated test efforts to ensure high-quality, reliable software delivery.

The ideal candidate brings strong experience in test automation frameworks, a meticulous attention to detail, and demonstrated ability to leverage AI tools and techniques to enhance testing efficiency, coverage, and accuracy.

This position requires U.S. citizenship and the ability to obtain and maintain a Public Trust clearance. Candidates must reside in the US.

Responsibilities:
• Plan, design, and execute comprehensive test strategies for web-based applications
• Perform functional, regression, integration, and end-to-end testing across multiple environments
• Develop, maintain, and execute automated test scripts using industry-standard frameworks (Playwright preferred, Selenium acceptable)
• Validate application behavior against functional and technical requirements
• Identify, document, and track defects using Jira (XRay preferred)
• Collaborate with developers, product owners, and cross-functional teams to ensure quality throughout the development lifecycle
• Maintain detailed and structured test cases, ensuring traceability and consistency across releases
• Contribute to test documentation and knowledge sharing using Confluence
• Participate in Agile ceremonies including sprint planning, backlog grooming, and retrospectives
• Support CI/CD pipelines by integrating automated testing into build and deployment workflows

AI-Enabled Testing Responsibilities:
• Leverage AI-assisted tools (e.g., test generation, defect prediction, code analysis) to improve test efficiency and coverage
• Utilize AI-driven approaches for test case generation, prioritization, and maintenance
• Apply machine learning-based validation

Description

Publix Super Markets, Inc., the largest employee-owned company in the U.S., is driven by a dynamic technology team of 2,300+ professionals delivering innovative solutions to 1,400+ stores and 200,000+ associates across 8 states.

From IT security and platform engineering to architecture, software development, and infrastructure, we offer career opportunities at every level-internships through technical leadership.

Join a company consistently ranked among Fortune's "100 Best Companies to Work For" and help us build more than great subs-build the future of technology at Publix.

Join the Point-of-Sale Modernization team! As a Sr. Quality Assurance Automation Engineer, you will work on a highly complex, cross-platform effort with varying technology solutions (infrastructure, software, middleware, etc). This candidate will work closely with the project team and testers to ensure quality assurance activities are planned, executed, and the results are reported. In addition, the position will be responsible for the creation of automated test cases using industry-standard programming languages.

Location: Hybrid (Lakeland, FL)
Work Model: Enjoy the best of both worlds-collaborate in person and innovate remotely.

Why Join Us?
• Hybrid Flexibility: Work remotely when you need focus time, and join us onsite for high-impact collaboration and brainstorming sessions.
• Operational Efficiency: Ensure technology solutions support efficient workflows and enable automation to improve operational effectiveness.
• Cutting-Edge AI Projects: Drive innovation in AI platforms, integrating advanced tools and frameworks to solve complex business challenges.
• Empowered Culture: We value autonomy, creativity, and continuous learning-your ideas shape the future of technology in our organization.
Your Impact
• Perform analysis and development of automated test cases using industry-standard programming languages
• Review project requirements, high-level system designs, and user st

Software Development Engineer in Test (SDET) – AI-Augmented

Location: 100% Remote

Employment Type: Contract-to-Perm (conversion after approximately 6 months)

Industry: Healthcare

Our client in the healthcare industry is seeking two Software Development Engineers in Test (SDETs) to help build and maintain robust automated testing frameworks supporting modern Java/Spring Boot microservices.

This is a hands-on automation engineering role focused on building scalable and reliable automated testing solutions across API, UI, and integration layers. The ideal candidate will leverage AI-assisted development tools such as GitHub Copilot and Claude Code to rapidly create, maintain, and optimize automated tests while ensuring stability across CI pipelines and containerized environments.

The SDET will play a key role in improving test automation coverage, pipeline stability, and service reliability while working closely with software engineers to ensure quality across distributed microservices running in Kubernetes environments.

Key Responsibilities
• Design, develop, and maintain automated tests for APIs, UI, and service integrations supporting Java/Spring Boot applications.
• Build and maintain test automation frameworks using Java-based testing tools such as JUnit and RestAssured.
• Implement and maintain contract testing and integration testing strategies across microservices.
• Develop and manage synthetic test data to support automated testing workflows.
• Integrate automated tests into CI/CD pipelines using Jenkins.
• Monitor and stabilize test pipelines running against containerized services in Kubernetes environments.
• Work closely with software engineers to ensure testability, reliability, and coverage of new features.
• Utilize AI-assisted development tools (e.g., GitHub Copilot, Claude Code) to accelerate test development, debugging, and maintenance.
• Troubleshoot failing tests and support rapid debugging and issue resolution across services and pipelines.

Job Title:
Software Developer in Test - SDET

Role Overview:

We are seeking a talented Software Developer in Test to join our growing Consumer Protection Analytics engineering team. In this role, you will be instrumental in ensuring the quality, reliability, and performance of our security products across multiple platforms. You'll work at the intersection of software development and quality assurance, building sophisticated test automation frameworks and validating complex agent-based solutions, APIs, and backend services.

In this role you will achieve and maintain test coverage for assigned components via test automation with integration in CI/CD pipeline, exploratory testing and other test methodologies to release high quality products with agility and speed. Leverage AI tools to optimize the monitoring, efficiency and efficacy of test plans.

This is an exciting opportunity to work with cutting-edge technologies, collaborate with global teams, with an expectation to leverage AI-powered tools to enhance both product quality and development efficiency.

This is a Hybrid position located in either San Jose or Newport Beach CA. You will be required to be on-site on an as-needed basis; when you are not working on-site, you will work from your home office. You must be within commutable distance either the San Jose or Newport Beach CA to Frisco, TX offices. We are not offering relocation assistance at this time.

About the Role
• Design and execute comprehensive test strategies for APIs, web applications, backend services, agent-based solutions, and mobile applications across Windows, Linux, and macOS platforms
• Perform functional, regression, performance, security, and integration testing to ensure product excellence
• Conduct low-level system testing including process monitoring, system calls, file system interactions, and network activity validation
• Work closely with security teams to perform agent-level vulnerability assessments and security testing
• Generate

Summary

IT Specialist (APPSW) Test Automation Engineer position(s) are being filled through the Office of Personnel Management's delegated Direct Hire Authority, open to all U.S. citizens. Selections made under this bulletin will be processed as new appointments to the civil service. Current civil service employees would, therefore, be given new appointments to the civil service. Under the provisions of the Direct Hire Authority, Veterans Preference and the "Rule of Many" do not apply.

Duties

Help
• This announcement serves as public notice. Applications submitted be placed into a pool and will remain on file for selection as positions become available.
• Vacancies may be filled for up to 6 months after the closing date of this announcement. Applicants may not receive notifications of referral status until the full 6-month eligibility period has elapsed.
• Positions filled with applications from this pool will be placed into positions where artificial intelligence duties occupy the majority of the work performed.

Requirements

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Conditions of employment
• U.S. Citizenship required
• Selective Service Registration, if applicable (www.sss.gov)
• Fingerprinting and background and/or security investigation may be required
• Job offers are contingent on fingerprinting and background / security investigation results
• Selectees may be required to serve a 1 year probationary period
• Relocation expenses will not be paid
• All qualification requirements must be met by the closing date of the announcement
• Candidates will not be hired based on their race, sex, color, religion, or national origin.

Qualifications

Resumes exceeding two pages in length will not be considered, please visit the new resume guidance for more information.

Duties
• Design, develop, and maintain automated test scripts using cutting-edge tools like Selenium, Cucumber, and more.
• Implement Behavior Driven Development (BDD) practices, crafting clear and effective test scenarios in Gherkin syn

Position: Senior Staff QA Engineer - AI-Driven Test Automation Leader
A leading insurance company is looking for a Senior Staff Software Engineer specializing in Quality Engineering to lead and improve quality practices across technology platforms. The role involves defining a quality engineering strategy, designing automated test frameworks, and mentoring engineers. The ideal candidate has over eight years of experience in software and quality engineering and is skilled in cloud-native technologies.

This position offers hybrid work, requiring office attendance three days a week, and a competitive compensation package, ranging from $127,600 to $191,400.
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Software Development Engineer in Test
Help us build the next generation of Mimecast products!
Be on the cutting edge as we continue building the next generation of Mimecast's Human Risk Management solution! We use our AI and ML platform to help our customers identify and address non-compliance, data loss and security issues across their communication and collaboration tools, and to respond to incidents quickly.
We are looking for a Software Developer in Test (SDET) with skills and aptitudes for test automation and quality engineering to join our dynamic and collaborative software engineering team!
Why Join Our Team?
"This is a highly effective software engineering team developing products and features that are essential to our company strategy and have high priority. The products are interesting, the technology is modern, and the team is engaged and collaborative. It is a great environment to learn new skills and share the ones you already have." - Hiring Manager
What You'll Do:
As an SDET at the Software Engineer I level in the Governance, Compliance and Insights team, you will design, develop and operate software tests for our industry leading solution for Human Risk Management. Your responsibilities will include:
Help plan, refine and estimate epics and stories as part of an Agile Scrum team.
Create test strategies and plans to thoroughly test new features.
Refine acceptance criteria into testable units and convert those to efficient and reliable automated tests.
Integrate automated tests with CI/CD pipelines and sustain successful automation as part of our regular build process.
Perform manual testing on occasions when automated tests are not practical.
Detect, reproduce, and help resolve defects, emphasizing troubleshooting, root cause analysis, and preventing similar issues in the future.
Collaborate with cross-functional teams including Product Managers, Architects, and Engineers in the US and UK.
Participate in and help drive Agile development processes.
Pus

Title – SDET (Software Development Engineer in Testing)
Location – Cincinnati, OH ( 5 days onsite)
• Experience - 5 + years
• Strong banking domain expertise in commercial loan systems, customer onboarding, funding/boarding, and full loan lifecycle management
• Experience handling accruals, non-accrual scenarios, charge-offs, collateral processing, participation/syndication, billing, ticklers, late charges, and loan servicing
• Proficiency in designing tests using functional, API, regression, and integration methodologies
• Ability to develop comprehensive and effective test cases
• Skilled in defect identification, logging, tracking, and coordination
• Strong communication skills for collaboration with developers, QA teams, business stakeholders, and management
• Ability to work effectively in cross-functional Agile teams
• Strong analytical and problem-solving abilities for root-cause analysis and solutioning
• Adaptability to rapidly evolving tools, technologies, and testing practices
• Experience driving automation for API/web services, Web UI, data extracts, database testing, and test data management
• Proficiency in Java, Python, and JavaScript
• Strong database skills including SQL, DB2, and Snowflake
• Hands-on experience with API testing tools and practices
• Proficient in Git for version control
• Familiarity with CI/CD pipelines using Jenkins or similar tools
• Experience using ALM tools such as Digital.ai or qTest
• Hands-on experience with WebdriverIO, ReadyAPI, VS Code, and Postman
• Expertise in automation frameworks including POM, data-driven frameworks, Selenium, and Appium
• Experience with data modernization activities including ETL reconciliation, field-to-field mapping, and data quality checks
• Strong experience in data extract testing, specifically with Snowflake
• Ability to articulate ideas clearly and professionally to technical and non-technical audiences

About the Company:
Georgia Tek Systems