Original listing text, shown exactly as published by the company.
About the Role
As a Software Engineer on Developer Velocity, you'll design and build the internal platform, tooling, and automation that lets every Render engineer move quickly and safely. You'll drive changes in our local development environments, CI/CD pipelines, test infrastructure, and the metrics we use to understand and improve how we ship. You'll work across the entire engineering org, identify where friction lives, and remove it, measurably.
What You'll Do
- Improve speed and reliability of early change feedback
- Invest in build and dependency tooling, caching, incremental builds, and monorepo ergonomics, to keep iteration tight as the codebase grows.
- Accelerate our CI/CD pipelines - cutting build, test, and deploy times while keeping the path to production safe and reversible.
- Make our test suites fast and trustworthy: parallelization, smart test selection, flaky-test detection, and better local/preview environments built on the same primitives our customers use.
- Design and build tools to support concurrent agent execution
- Make test feedback fast enough to live inside an agent's loop, where slow or flaky runs compound across every attempt.
- Get agents the right context (codebase conventions, service ownership, recent changes, environment state) so their first attempt lands closer to correct.
- Simplify and establish repeatable patterns
- Reduce toil through automation, paving over repetitive workflows and manual steps wherever they slow people down.
- Instrument the engineering org with meaningful signals (deployment frequency, lead time for changes, change failure rate, time to restore) and turn them into action.
- Build and participate in an on-call rotation as the team takes ownership of critical systems.
What We're Looking For
- Experience building and operating developer-facing tooling, CI/CD systems, or internal platforms that other engineers depend on every day.
- Experience driving cultural and process changes to make engineering teams more effective.
- Strong software engineering fundamentals and a track record of shipping, maintaining, and debugging production systems.
- Proficiency in Go (or a strong willingness to ramp quickly, it's our primary language).
- Hands-on experience with Kubernetes or similar container orchestration.
- Familiarity with infrastructure-as-code tools (yup, Terraform).
- A bias toward measurement: you instrument what you build and let data tell you whether you actually made things faster.
- You empathize deeply with engineers, fixing developer pain points in an elegant and sustainable manner is something that resonates deeply with you.
Nice-to-Haves
- Experience improving build systems, test infrastructure, or developer experience at meaningful scale - Bazel, Concourse, and GitHub workflows are old friends.
- Familiarity with observability tools like Datadog, Grafana, and OpenTelemetry.
- Comfort working close to the metal - Linux, containers, kubernetes - you get your hands very dirty.
- Security-minded instincts, especially around supply chain and the path from commit to deploy.
- Understanding that the question isn't "AI pilled vs AI skeptic", but rather where to use it as an accelerant, and where human context must come first.
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
