Glean Technologies-posted 3 months ago
$140,000 - $265,000/Yr
Full-time • Mid Level
Hybrid • San Francisco Bay Area, CA
501-1,000 employees
Publishing Industries

We are looking for a Software Engineer, Developer Productivity to shape the way our engineers build, test, and ship software. Our codebase is large and multi-language, powered by Bazel, with pipelines running on GitHub Actions and cloud remote execution. In this role, you will design and optimize build systems, CI/CD pipelines, and developer tooling, while also enabling engineers to effectively leverage AI-powered coding and productivity tools. Your work will reduce friction in everyday workflows, scale our infrastructure, and help the entire engineering team move faster with confidence.

  • 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.
  • 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.
  • Strong debugging skills and an interest in solving workflow bottlenecks.
  • Experience integrating or enabling AI developer tools is a plus.
  • Passion for multiplying the effectiveness of other engineers.
  • Competitive compensation.
  • Medical, Vision, and Dental coverage.
  • Generous time-off policy.
  • 401k plan.
  • Home office improvement stipend.
  • Annual education and wellness stipends.
  • Vibrant company culture through regular events.
  • Healthy lunches daily.
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