GRAIL is seeking a Build Engineer to join our DevOps / Platform Engineering organization. Our team builds and operates the infrastructure, tooling, and developer platforms that engineering and research teams rely on to move quickly and safely, from local development environments through builds, tests, CI/CD, and release.
In this role, you will focus on developer experience: reducing friction in day-to-day engineering workflows and making complex, multi-language systems easier to build, test, and maintain. You will own and improve build-system workflows in our Bazel-based monorepo, raise CI reliability and performance, and build internal tooling and self-service automation used across engineering and research. This is a high-leverage role with broad visibility, your work directly accelerates teams working on early cancer detection.
This role is based in Sunnyvale, California. We are moving to our new headquarters in September so you may visit our current Menlo Park, CA location for interviews if they occur prior to the move. This role offers a flexible work arrangement, with the ability to work from GRAIL's office or from home. Our current flexible work arrangement policy requires that a minimum of 60%, or 24 hours, of your total work week be on-site. Your specific schedule, determined in collaboration with your manager, will align with team and business needs and could exceed the 60% requirement for the site. At our Sunnyvale campus, Tuesdays and Thursdays are the key days where we encourage on-site presence to engage in events and on-site activities.
Responsibilities
4+ years of experience working on build systems, CI/CD, or developer productivity / platform tooling.
2+ years of hands-on experience with a large-scale build system (for example Bazel, Buck, Pants, Gradle, or CMake).
2+ years of experience building and maintaining CI/CD pipelines in GitLab CI, GitHub Actions, Jenkins, or a comparable system.
3+ years of professional coding experience in one or more of Go, Python, TypeScript, or Java.
1+ years of hands-on experience with AWS and containerized workloads on Kubernetes.
BS in Computer Science or a related technical field, or equivalent experience.
Preferred Qualifications
Production Bazel experience, especially in a large, multi-language monorepo.
Experience with Bazel rules and toolchains, remote caching, remote execution, test sharding, or build performance optimization.
Experience with dependency management, hermetic and reproducible builds, and test infrastructure at scale.
Experience improving developer experience in a mixed-language engineering environment (Go, Python, TypeScript, Java).
Experience building internal CLIs, automation, release tooling, or self-service developer platforms.
Experience defining and using developer-productivity metrics to prioritize work and demonstrate impact.
Experience diagnosing and reducing CI flakiness, build nondeterminism, and long-tail pipeline failures.
Experience supporting scientific, research, or data-intensive teams, including Python packaging and container image workflows.
Strong debugging skills across complex, multi-team build, test, and pipeline failures.
Clear communication and collaboration skills, with a track record of working directly with developers, researchers, and platform engineers.
Comfortable using modern AI coding agents as part of day-to-day engineering work while applying sound engineering judgment.
Experience mentoring engineers or driving adoption of tooling and standards across teams.
Skills Required
- 4+ years experience working on build systems, CI/CD, or developer productivity/platform tooling.
- 2+ years hands-on experience with a large-scale build system (for example Bazel, Buck, Pants, Gradle, or CMake).
- 2+ years experience building and maintaining CI/CD pipelines in GitLab CI, GitHub Actions, Jenkins, or a comparable system.
- 3+ years professional coding experience in one or more of Go, Python, TypeScript, or Java.
- 1+ years hands-on experience with AWS and containerized workloads on Kubernetes.
- BS in Computer Science or a related technical field, or equivalent experience.
- Production Bazel experience, especially in a large, multi-language monorepo.
- Experience with Bazel rules and toolchains, remote caching, remote execution, test sharding, or build performance optimization.
- Experience with dependency management, hermetic and reproducible builds, and test infrastructure at scale.
- Experience improving developer experience in a mixed-language engineering environment (Go, Python, TypeScript, Java).
- Experience building internal CLIs, automation, release tooling, or self-service developer platforms.
- Experience defining and using developer-productivity metrics to prioritize work and demonstrate impact.
- Experience diagnosing and reducing CI flakiness, build nondeterminism, and long-tail pipeline failures.
- Experience supporting scientific, research, or data-intensive teams, including Python packaging and container image workflows.
- Strong debugging skills across complex, multi-team build, test, and pipeline failures.
- Clear communication and collaboration skills and experience mentoring engineers or driving adoption of tooling and standards.
- Comfortable using modern AI coding agents as part of day-to-day engineering work.
What the Team is Saying
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What We Do
GRAIL is a healthcare company whose mission is to detect cancer early, when it can be cured. GRAIL is using the power of high-intensity sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop and commercialize pioneering products.
Why Work With Us
Everything we do is guided by our mission to detect cancer early, when it can be cured. It’s the reason we’re here, and it’s no small task. The right people make all the difference. That’s why we’re looking for those who strive to share their knowledge, contribute their skills, inspire each other and commit to something bigger than themselves.
Gallery
GRAIL Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
GRAIL has a variety of work types depending on the roles. Some roles are onsite like a lab role, some are fully remote like our Galleri Sales Consultant roles. Others are hybrid with 2-3 days onsite. Typically Tuesday and Thursday.
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