Overview
The Opportunity
Full job description
The Opportunity Zoox's mission is to build a purpose-built robotaxi that gives the world a better way to ride. Every line of that autonomous driving software has to be compiled, tested, and validated reliably at scale before it ever reaches the road. You'll join the team that owns the build infrastructure making that possible: maintaining and evolving our Bazel-based build system in a large, multi-language monorepo used by hundreds of engineers. As a key contributor, you will take ownership of the build ecosystem supporting our rapidly expanding, safety-critical autonomous vehicle software. This role entails configuring and upgrading compilers, profiling and optimizing build pipelines, and serving as the primary expert for all build-related inquiries. While we have established a robust foundation using Bazel in a monorepo along with a remote build farm and cache, our goal is to elevate this into a world-class development experience. We are searching for a passionate engineer with a strong curiosity for optimizing build speeds and a commitment to empowering developers through metrics and advanced tooling within our fast-paced culture.
Own CI performance, cost efficiency, and reliability end-to-end, at thousands of builds a day and growing Rethink CI failure analysis, triage, developer support, and incident response with modern AI tools, shifting first-line work off human on-call Work cross-functionally to find where integration slows down and fix it at the platform level, and enable teams to make their CI efficient and reliable Set the technical bar for how CI is built and operated, and mentor the engineers around you
5+ years of software engineering and programming experience, including significant experience in platform, infrastructure, or developer tooling Hands-on experience operating a distributed CI system at scale, Buildkite preferred; Jenkins, GitHub Actions, or similar Working familiarity with a modern build system such as Bazel, and with how caching and remote execution interact with CI Solid knowledge of version control systems such as Git Self-driven and motivated with a strong work ethic and passion for problem solving
Cloud compute cost analysis and fleet economics (AWS EC2 instance families, spot, right-sizing) Experience dealing with the operational challenges of large monorepos and merge queues Experience in "infrastructure as code" tools like Terraform, Helm, and Ansible, and good knowledge of Kubernetes and containers
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