Software Engineer (Developer Productivity)

Glean; Mountain View (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Glean is seeking a Software Engineer, Developer Productivity to shape how our engineers build, test, and ship software. You will design and optimize Bazel-based build systems and CI/CD pipelines, while enabling AI-powered tooling across the developer workflow.

You will reduce friction, scale infrastructure, and improve reliability and cost. You will own tooling such as CLI utilities, IDE plugins, and GitHub bots, and help onboard engineers to AI-assisted coding practices.

Qualifications

• Experience designing and optimizing build systems and CI/CD pipelines.
• Strong debugging skills and passion for reducing workflow bottlenecks.
• Experience with Bazel and multi-language monorepos is a plus.

Responsibilities

• Design and optimize Bazel-based build systems and CI/CD pipelines.
• Develop tools and workflows (CLI utilities, IDE plugins, GitHub bots) to improve developer productivity.
• Automate debugging of flaky tests and CI failures.
• Instrument pipelines with telemetry to measure speed, reliability, and cost.
• Enable AI-powered coding assistants in daily workflows.

Skills

CI/CD experience

Distributed systems

AI tooling integration

Debugging

Code optimization

Tools

Bazel

GitHub Actions

Docker

Kubernetes

Jenkins

Job description

• 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
• 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 (GitHub 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)