Software Engineer; Developer Productivity
Job in
Mountain View, Santa Clara County, California, 94039, USA
Listed on 2026-09-04
Listing for:
Glean
Full Time
position Listed on 2026-09-04
Job specializations:
-
Software Development
DevOps, Software Engineer, Cloud Engineer - Software, AI Engineer (Applied/Software)
Job Description & How to Apply Below
- 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 Git Hub 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 Git Hub 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, Git Hub 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. Git Hub 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
- Experience integrating or enabling AI developer tools is a plus
- Strong software engineering background (Java, Go, Python, or similar)
- Hands‑on with CI/CD systems (Git Hub Actions, Buildkite, Jenkins, etc.)
- Familiarity with Docker/Kubernetes, cloud runners, and distributed build/test environments
- Passion for multiplying the effectiveness of other engineers
- Strong debugging skills and an interest in solving workflow bottlenecks
- Experience with build systems (Bazel strongly preferred; Buck, Blaze, Gradle, or Maven acceptable)
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