Security Automation Engineer - Vercel - San Francisco, CA
Vercel
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