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greenhouse

Software Engineer, Developer Productivity

Glean
CAN
Mid
USD 140000-220000 / year
Discovered 1 months ago
bazeldockergitgithub-actionsgradlejava

Full Job Posting

  • Develop and maintain our Bazel monorepo with support for multiple languages.
  • Improve build hermeticity, caching, reproducibility, and dependency management.
  • Extend Bazel with custom rules, macros, and integrations.
  • Operate and optimize pipelines on GitHub Actions, Kubernetes, and cloud runners.
  • Reduce CI latency through remote execution, caching, and parallelization.
  • Instrument pipelines with telemetry and dashboards to measure speed, reliability, and cost.
  • Build tools and workflows (CLI utilities, IDE plugins, GitHub bots) that improve day-to-day developer experience.
  • Automate debugging of flaky tests and CI failures.
  • Simplify onboarding and local dev environments.
  • Enable engineers to integrate AI-powered coding assistants (e.g. GitHub Copilot, Cursor, Claude) into daily workflows.
  • Build agentic tooling that automates CI failure analysis, PR triage, and code review support.
  • Collect usage insights, build dashboards, and iterate on adoption strategies to maximize developer ROI from AI.
  • You’ll work on critical build and CI/CD systems that touch every engineer’s workflow.
  • You’ll have a direct impact on the speed, reliability, and cost of software delivery.
  • You’ll be at the frontier of AI adoption in engineering teams, shaping how humans and AI collaborate in development.
  • You’ll have opportunities to contribute to open source (Bazel, rules projects, CI tooling) and share learnings at conferences
  • Strong software engineering background (Java, Go, Python, or similar).
  • Experience with build systems (Bazel strongly preferred; Buck, Blaze, Gradle, or Maven acceptable).
  • Hands-on with CI/CD systems (GitHub Actions, Buildkite, Jenkins, etc.).
  • Familiarity with Docker/Kubernetes, cloud runners, and distributed build/test environments.
  • Experience integrating or enabling AI developer tools is a plus.
  • Strong debugging skills and an interest in solving workflow bottlenecks.
  • Passion for multiplying the effectiveness of other engineers.
  • This role is hybrid (4 days a week in our Mountain View office)

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