Software Engineer, Developer Productivity
TLDR
Shape how engineers build, test, and ship software by optimizing CI/CD pipelines and reducing friction in workflows, leveraging AI-powered tools for productivity.
- 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.
Benefits
Education Stipend
You will receive an annual education and wellness stipends to support your growth and wellbeing.
Free Meals & Snacks
provide healthy lunches daily to keep you fueled and focused.
Health Insurance
We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage.
Home Office Stipend
When you join, you'll receive a home office improvement stipend.
Paid Time Off
generous time-off policy
Glean is a Work AI platform designed to help organizations optimize their operations through intelligent search and AI-driven capabilities. By offering a scalable and secure infrastructure, Glean empowers businesses across various industries to harness the full potential of AI while maintaining control and customization.
- Founded
- Founded 2019
- Employees
- 51-200 employees
- Total raised
- $160M raised