Software Engineer — Release Engineering

AI AT ZAPIER At Zapier https://zapier.com/about, we build and use automation every day to make work more efficient, creative, and human. So if you’re using AI tools while applying here - that’s great! We just ask that you use them responsibly and transparently. Check out our guidance on How to Collaborate with AI During Zapier’s Hiring Process https://zapier.com/l/jobs/ai-at-zapier, including how to use AI tools like ChatGPT, Claude, Gemini, or others during our hiring process - and when not to. Job Posted: April 27th, 2026 Location: India Hi there! I'm Phil Carvalho, and I lead Release Engineering at Zapier. Our team owns the systems that move code from merge to production — CI/CD pipelines, testing infrastructure, release orchestration, and the golden paths every engineer at Zapier relies on. I'm excited to be hiring Software Engineers (L3 and L4) who want to work on the systems that make every engineer at Zapier faster and safer. This role sits at the intersection of software engineering and platform engineering. You'll build backend services and internal tools, but you'll also own CI/CD pipelines, release tooling, and delivery infrastructure. We're looking for engineers who write production code AND deeply understand how that code gets built, tested, and shipped. This team is being built in the India timezone to operate independently, on top of the platform foundation provided by our SREs in cloud/infra. Our charter is the software layer of delivery. As Zapier scales its enterprise capabilities and integrates AI more deeply into the development lifecycle, the reliability and speed of our delivery systems becomes a direct lever on how fast the company can ship. ABOUT YOU - You build software and you understand how it gets shipped. You can write a production service end-to-end, and you can also diagnose why a CI pipeline is slow or a test suite is flaky. - You have real depth in CI/CD systems, testing strategy, and release orchestration — not just as a user, but as someone who has built or meaningfully improved these systems. - You have hands-on experience with platform tools such as GitLab CI, Kubernetes, Docker, ArgoCD, Terraform, or similar. You don't just use these tools — you build and improve the systems around them. - You take loosely defined problems and drive them to production, writing design docs, defining success criteria, and following through on rollout and measurement without being told to. - You think in systems, not components, and design solutions with downstream users, second-order effects, and long-term maintainability in mind — the engineers depending on your systems are your first-class users. - You have strong backend or fullstack engineering fundamentals and have built and operated production APIs and services at scale (TypeScript, Node.js, Python, or equivalent). - You are comfortable making pragmatic technical decisions under uncertainty and can articulate your reasoning clearly. - You use AI tools actively in your engineering workflow and think critically about where they add value versus where you need to validate outputs carefully. - You collaborate effectively across teams in an async-first environment, aligning stakeholders and communicating tradeoffs without losing momentum. - You raise the bar around you through code review, design feedback, and contributing to team practices and standards. Level Expectations L3 — Software Engineer You understand how the systems you work on fit together end-to-end. You can take a well-defined task and deliver it from start to finish, including tests, documentation, and deployment. You have hands-on experience with CI/CD pipelines and testing infrastructure — you've built or improved these systems, not just used them. You call out risks early, ask for help when needed, and communicate progress clearly. You debug issues using logs and metrics, and when something is beyond your scope, you know how to involve the right people. You use AI tools in your daily work