The opportunity
The Engineering Acceleration team builds and operates the foundational systems that engineers use to build, test, and ship ChatGPT, the API, and OpenAI's infrastructure.
What you'll do
Own and evolve Bazel-based build and test workflows across a large, polyglot monorepo.
Design and maintain Starlark rules, macros, toolchains, and integrations that: make builds reproducible, hermetic, and easy for product teams to adopt.
Improve CI performance and reliability across Buildkite pipelines, including: queue time, build time, cache hit rates, test sharding, retry behavior, and flake isolation.
Build systems that reduce unnecessary CI work through affected-target: detection, dependency graph analysis, test selection, caching, batching, and smarter scheduling.
Improve local development workflows so engineers can reproduce CI behavior,: debug build failures, and iterate quickly without learning every detail of the build stack.
Operate and optimize build infrastructure across Docker/OCI images,: Kubernetes-based runners, cloud resources, and remote cache/execution systems.
What they're looking for
- Instrument build and CI systems with metrics, logs, traces, dashboards, and: analytics so we can measure speed, reliability, cost, and developer impact.
- Partner directly with product, infrastructure, and research engineering teams: to understand pain points, onboard projects, debug hard build issues, and remove systemic bottlenecks.
- Use modern AI tools to rethink CI failure analysis, flaky test debugging, PR: triage, automatic remediation, and developer-facing explanations.
- Own the reliability of the systems you build, including participating in an: on-call rotation for critical developer infrastructure.
