Staff Software Engineer, Build Systems (Bazel) - #4770

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, CA, and offers a flexible work arrangement requiring a minimum of 60%, or 24 hours, of the workweek on-site at GRAIL's Sunnyvale office (250 S Mathilda Av, Sunnyvale, CA 94086). Tuesdays and Thursdays are encouraged on-site days for collaboration, events, and team activities. These days may change based on team and business needs, including additional on-site attendance.

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.

Required Qualifications

6+ 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.

At GRAIL, we believe in recognizing and rewarding the contributions our employees make to our mission and success. In addition to base pay, this role may be eligible for additional compensation, including an annual bonus and/or other incentives, in accordance with applicable plans and the company's discretion. The posted range reflects our good-faith estimate of the base pay we expect to offer for this position at the time of hire. Actual compensation will be determined based on factors such as the candidate’s experience, skills, qualifications, and other relevant considerations.

At GRAIL, we invest in the health, well-being, and future of our employees and their families. Employees in this role are eligible for a comprehensive and competitive benefits package designed to support what matters most, including flexible time off or vacation, a 401(k) retirement plan with employer match, medical, dental, and vision coverage, and thoughtfully selected well-being programs. Benefits are offered in accordance with applicable plans and policies.

GRAIL is an equal employment opportunity employer, and we are committed to building a workplace where every individual can thrive, contribute, and grow. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, disability, status as a protected veteran, or any other class or characteristic protected by applicable federal, state, and local laws. Additionally, GRAIL will consider for employment qualified applicants with arrest and conviction records in a manner consistent with applicable law and provide reasonable accommodations to qualified individuals with disabilities. Please contact us at [email protected] if you require an accommodation to apply for an open position.

GRAIL maintains a drug-free workplace. We welcome job-seekers from all backgrounds to join us!

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.