Software Engineer, Dev Velocity (all levels)

At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.

Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.

Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.

We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.

We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.

We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.

Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.

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.

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• 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.

• 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.

• 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.

• 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.

• 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.