Software Engineer, Developer Productivity
Quick Summary
About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem,
- 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 (3-4 days a week in one of our SF Bay Area offices)
AI-First Mindset at Glean:
At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required.
Listing Details
- Posted
- April 8, 2026
- First seen
- March 26, 2026
- Last seen
- April 17, 2026
Posting Health
- Days active
- 21
- Repost count
- 0
- Trust Level
- 43%
- Scored at
- April 17, 2026
Signal breakdown
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