Build Engineer - Bazel - #4770
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Job description
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 Own and improve build-system workflows in our 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 identify and remove friction in local development, builds, tests, CI, release workflows, and tooling. Build and maintain internal tools, automation, and self-service workflows that reduce repeated 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 where it intersects with build, test, and delivery workflows. Establish practical standards, documentation, and reusable patterns for build systems, CI pipelines, and developer tooling. Take accountability for ambiguous developer-productivity problems and drive them through to measurable improvements. Use modern AI coding agents responsibly to explore unfamiliar codebases, investigate difficult failures, prototype solutions, and accelerate tooling work.
These responsibilities summarize the role’s primary responsibilities and are not an exhaustive list. They may change at the company’s discretion.
Requirements
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.
Benefits & conditions
The expected base salary range for this position is $136,000 to $180k
This role may be eligible for other forms of compensation, including an annual bonus and/or incentives, subject to the terms of the applicable plans and Company discretion. This range reflects a good-faith estimate of the range that the Company reasonably expects to pay for the position upon hire; the actual compensation offered may vary depending on factors such as the candidate’s qualifications. Employees in this role are also eligible for GRAIL’s comprehensive and competitive benefits package, offered in accordance with our applicable plans and policies. This package currently includes flexible time-off or vacation; a 401(k) retirement plan with employer match; medical, dental, and vision coverage; and carefully selected mindfulness programs.
About the company
Our mission is to detect cancer early, when it can be cured. We are working to change the trajectory of cancer mortality and bring stakeholders together to adopt innovative, safe, and effective technologies that can transform cancer care.
We are a healthcare company, pioneering new technologies to advance early cancer detection. We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine’s greatest challenges.
GRAIL is headquartered in the bay area of California, with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies., GRAIL is a healthcare company whose mission is to detect cancer early, when it can be cured. GRAIL is focused on alleviating the global burden of cancer by developing pioneering technology to detect and identify multiple deadly cancer types early. The company is using the power of next-generation 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 its multi-cancer early detection blood test. GRAIL is headquartered in Menlo Park, CA with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies. For more information, please visit www.grail.com.
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