Software Engineer, Dev Velocity (all levels)

Render

24 days
Remote: United States, Remote: Canada $170K – $290K • Offers Equity
Software Engineer Kubernetes Terraform AI Engineering Full-time CI/CD Linux Grafana Go Remote Developer Experience Observability Automation Debugging Developer Tooling Infrastructure Cloud Platform Datadog OpenTelemetry On-call Production Systems Dev Velocity Internal Platform Build Systems Test Infrastructure Monorepo Bazel Concourse GitHub Workflows Containers Supply Chain Security
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At Render, we are building a modern cloud platform for developers creating AI-native, full-stack, multi-service applications, aiming to eliminate the tradeoff between hyperscaler power and developer simplicity. Our platform provides persistent compute, dynamic autoscaling, built-in orchestration, and observability, enabling teams to launch, scale, and manage real-world applications without managing infrastructure code or servers. Trusted by over 6 million developers, Render secured $257M in funding to accelerate its vision for intuitive and powerful cloud infrastructure for modern AI development. As a Software Engineer on the Developer Velocity team, you will design and build internal platforms, tooling, and automation to empower Render engineers to move quickly and safely. This involves driving improvements in local development environments, CI/CD pipelines, test infrastructure, and relevant metrics. Your responsibilities include enhancing the speed and reliability of early change feedback by investing in build and dependency tooling, caching, incremental builds, and monorepo ergonomics. You will accelerate CI/CD pipelines to cut build, test, and deploy times while maintaining a safe path to production, and make test suites fast and trustworthy through parallelization, smart test selection, and flaky-test detection. The role also includes designing and building tools for concurrent agent execution to ensure fast test feedback and provide agents with the necessary context. You will simplify and establish repeatable patterns, reducing toil through automation and instrumenting the engineering organization with meaningful signals (deployment frequency, lead time for changes, change failure rate, time to restore) to drive action. Additionally, you will build and participate in an on-call rotation for critical systems.