Software Engineer, Developer Productivity

About the role

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.

Responsibilities

• 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.

About you

• A 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.

Location

This role is hybrid (4 days a week in our Mountain View office)

Compensation & Benefits

The standard base salary range for this position is $140,000 - $220,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

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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.

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