Software Engineer, Developer Productivity

About Glean:

Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence.

Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.

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.

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.

You will: 

Build Systems & Tooling

• 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.

CI/CD Engineering

• 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.

Developer Enablement

• 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.

AI Adoption & Productivity

• 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.

Additionally

• 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: 

• 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 (3-4 days a