Zoox

Staff Site Reliability Engineer

Zoox
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3 months ago
Foster City, CA, USAStaff+
H1B Sponsor

Base Salary

$250k - $300k/yr

Responsibilities

  • Own the technical strategy and roadmap for source control, including GitHub Enterprise and GitHub Cloud.
  • Plan and execute the migration from GitHub Enterprise to GitHub Cloud through scoping, design, implementation, cutover, and validation.
  • Build and operate monorepo scalability improvements covering repository structure, branch strategy, code ownership, large-file handling, and CI integration.
  • Develop scripts, hooks, guardrails, and developer-facing tooling to reduce SRE and product engineering toil.
  • Measure improvements through build times, merge friction, and interrupt volume.
  • Set technical standards through code reviews, design proposals, pairing, and source-control decisions across Zoox engineering.

Requirements

  • At least five years of experience operating GitHub Enterprise or an equivalent system at scale.
  • Hands-on experience scaling a large monorepo for an organization with several hundred or more engineers.
  • Strong CI/CD integration experience across code review workflows, build triggers, branch policies, and merge automation.
  • Experience with infrastructure as code, major cloud platforms, and platform migrations against active codebases.
  • Strong technical leadership and written communication skills, with the ability to align infrastructure, security, and product engineering teams.
  • Bonus experience migrating from GitHub Enterprise Server to GitHub Cloud.
  • Familiarity with monorepo build tooling and supply-chain hardening practices such as signed commits, dependency governance, and secret scanning.
  • Experience with code review tooling layered on top of GitHub.

Tech Stack

BazelBuildkiteGitHub ActionsGitLab CI/CDJenkinsTerraform

Categories

DevOpsSite Reliability
Zoox

About Zoox

1,001-5,000 employees

Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.

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