Bazel Build Engineer - Scale CI/CD for Multi-language Apps

Grailbio

Durham (NC)

Hybrid

USD 136,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Flexible time-off

401(k) employer match

Medical, dental, and vision coverage

Mindfulness programs

Job summary

GRAIL is seeking a Build Engineer to join our DevOps / Platform Engineering organization, focusing on reducing friction in multi-language development workflows and improving build, test, and CI tooling. You will own Bazel-based workflows, enhance CI reliability, and contribute to self-service automation used by engineering and research teams.

Based in Sunnyvale, CA with a flexible on-site/remote mix, you will collaborate closely with researchers and developers to accelerate early cancer

Qualifications

4+ years of experience with build systems, CI/CD, or developer productivity / platform tooling.
2+ years with a large-scale build system (e.g., Bazel, Buck, Pants, Gradle, or CMake).
2+ years building and maintaining CI/CD pipelines in GitLab CI, GitHub Actions, Jenkins, or a comparable system.
3+ years professional coding in Go, Python, TypeScript, or Java.
1+ years hands-on experience with AWS and Kubernetes.
BS in Computer Science or a related technical field, or equivalent experience.

Responsibilities

Own and improve build-system workflows in a Bazel-based monorepo, including build rules, test execution, dependency management, caching, and build diagnostics.
Improve CI performance, reliability, and observability, including failure diagnostics, flaky-test handling, and pipeline maintainability.
Partner with engineering and research teams to remove friction in local development, builds, tests, CI, release workflows, and tooling.
Build and maintain internal tools, automation, and self-service workflows that reduce manual effort for engineers.
Diagnose complex build and CI failures across Go, Python, TypeScript, and Java codebases.
Collaborate with DevOps and platform engineers on AWS and Kubernetes infrastructure related to build/test/delivery workflows.
Establish standards, documentation, and reusable patterns for build systems, CI pipelines, and developer tooling.
Take accountability for ambiguous developer-productivity problems and drive them to measurable improvements.
Use modern AI coding agents to explore unfamiliar codebases, investigate failures, prototype solutions, and accelerate tooling work.