Systems Integration Engineer, Build Systems | Consumer Devices
Build and evolve Bazel, Yocto, and Buildkite-based CI systems for OpenAI consumer device software. Focus on hermetic builds, remote caching, test optimization, observability, and AI-powered failure analysis to accelerate reliable shipping. Requires 5+ years building developer infrastructure at scale.
293k – 325k/yr
Hybrid5+ YOEDevOps / SRE
About the role
Responsibilities
Own and evolve Bazel and Yocto-based build and test workflows in a polyrepo environment.
Design and maintain Starlark rules, macros, toolchains, and integrations that make builds hermetic, reproducible, and easy for teams to adopt.
Improve CI performance and reliability across Buildkite pipelines, including queue time, build time, cache hit rates, 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.
Unify local and CI development workflows so engineers can reproduce CI behavior, debug build failures, and iterate quickly.
Operate and optimize build infrastructure across Docker/OCI images, Kubernetes-based runners, cloud resources, and remote cache/execution systems.
Instrument build and CI systems with metrics, logs, traces, dashboards, and analytics to measure speed, reliability, cost, and developer impact.
Partner directly with users to understand pain points, onboard projects, debug hard build issues, and remove systemic bottlenecks.
Use modern AI tools to pioneer novel CI failure analysis, flaky test debugging, PR triage, automated remediation, and developer-facing information.
Own the reliability of the systems you build, including participating in an on-call rotation for critical developer and factory infrastructure.
Requirements
5+ years of engineering experience, including significant experience building infrastructure and tooling for developers.
Hands-on experience with Bazel, Buck, Gradle, or similar build systems, and understand the trade offs of hermetic builds, dependency graphs, caching, sandboxing, and remote execution.
Experience building CI systems at scale, especially in environments where build time, queue time, test flakiness, and developer trust materially affect engineering velocity.
Comfortable with owning production software and working in environments with strong SLA requirements.
Ability to debug distributed build and CI failures across source control, dependency management, containers, runners, remote caches, test frameworks, and service infrastructure.
Care deeply about developer experience and have empathy for the small sources of friction that slow teams down or create operational toil.
Excited to apply AI to developer infrastructure in ways that increase team velocity without weakening quality, reliability, or safety.
Experience operating in a polyrepo environment with source code from multiple parties.
Technologies
Bazel and Starlark for build and test workflows
Buildkite for CI orchestration
Docker and OCI images for build and runtime packaging
Kubernetes for CI runners and infrastructure orchestration
Python, Go, TypeScript, Rust, C++, and other languages in a large monorepo
Terraform for infrastructure as code
Remote caching, remote execution, artifact storage, and build telemetry systems
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