Jobs

Job Title: QA Automation Engineer II

Location: Jersey City, NJ(Hybrid)

Duration: 8+ Months (Possible Extension)

("US citizens and Green Card Holders and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time.”)

A reasonable, good faith estimate of the minimum and maximum hourly rate on W2 for this position is $55 to $67 with limited benefits.

Job Description:

Key Experiences:

• 9+ years of proven experience in the software development industry, participating in a team environment.

• 5+ years of experience in UI automation, such as Selenium WebDriver.

• 5+ years of proven experience in testing web services such as RESTful API.

• 3+ years of proven experience in performance testing using tools such as Apache JMeter.

• 2+ years of working in a cloud-based development and production environment such as AWS.

• 3+ years of proven experience with programming languages such Java/C#. Familiarity with Python is a plus. Seeking candidates with solid coding proficiency in Java or C#.

• Proficient with both SQL and NoSQL databases.

• Experienced working in Continuous Integration/Continuous Deployment (CI/CD) environments.

• Having AWS/Cloud technologies and AI/ML powered applications knowledge are big plus.

Top 3 Skills Required for this position:

1. Experience in Manual UI Testing & Automation testing using Selenium with C# (Mandatory)

2. Experience in Manual API Testing using Postman or any tool and Automation Testing Experience using JMeter or any Automation tool (Mandatory)

3. Experience with Python Coding (Mandatory)

Key Responsibilities:

• Design and execute functional and automation testing for applications.

• Develop and execute automated test scripts using testing tools; document and summarize results.

• Build, update, and maintain UI automation test cases using Selenium with C#.

• Perform manual API testing using tools such as Postman or Insomnia.

• Perform API automation tes

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

Akkodis is seeking a Principal Software Development Engineer in Test for a Contract with a client in Hamilton, NJ. This role drives automation framework architecture, enforces Azure DevOps quality gates, and ensures rigorous data validation for high‑confidence releases.

Rate Range: $53/hour to $56/hour; The rate may be negotiable based on experience, education, geographic location, and other factors.

Principal Software Development Engineer In Test Job Responsibilities Include
• Lead the architecture, design, and governance of scalable automation frameworks across UI, API, services, and data platforms.
• Drive data quality engineering by implementing automated validation for databases, pipelines, and system integrations, ensuring accuracy, consistency, and reconciliation.
• Embed automation and quality gates within Azure DevOps CI/CD pipelines, improving test reliability, execution speed, and release confidence.
• Enable AI‑driven quality practices using Copilot and other AI tools to accelerate test generation, analyze failures, and enhance code maintainability.
• Partner with engineering, product, and DevOps teams to improve system testability, observability, and quality-by-design principles across the platform.
• Mentor and guide SDETs, elevating automation maturity, coding standards, and quality engineering best practices across teams.

Required Qualifications
• Bachelor’s or master’s degree in computer science, Engineering, or a related technical discipline.
• 10+ years of hands‑on experience in SDET, Test Automation, or Quality Engineering with enterprise‑scale systems.
• Proven expertise in UI, API, and data quality automation using tools such as Java/Python, Playwright/Selenium, and advanced SQL.
• Demonstrated ability to lead automation strategy, implement CI/CD quality gates in Azure DevOps, and influence cross‑functional engineering teams at a Principal level.

If you are interested in this role, then please click APPLY NOW. For other opportunities availa

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

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

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 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

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

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

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

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