Staff Software Engineer, Build Systems

Company: Uber

Location: Seattle, WA

Salary: $232,000 - $258,000 a year

Type: Full-time

Posted: 2026-05-01

About this role

About the Role


Uber's Build team is looking for a top notch Staff Software Engineer to help deliver a frictionless build experience that is fast, reliable, and integrated seamlessly into the developer workflow.

You will help delight our engineering teams, and enable the whole engineering organization to iterate rapidly.

We create and contribute to open source software and collaborate with other industry leading tech companies with the belief that every developer should be productive.

What the Candidate Will Need / Bonus Points
- What the Candidate Will Do -

  • Partner with fellow engineers to innovate, architect, develop and scale Uber's distributed build platform
  • Provide initiative and technical leadership to build reliable, high-quality solutions that scale with Uber's engineering processes.
  • Deliver and review technical design, code and documentation.
  • Drive ongoing efficiency and reliability improvements through design and automation: availability, performance, scaling, monitoring and capacity.
  • Manage upstream and downstream dependencies, collaborate with other engineering teams, gather requirements and enable successful adoption of build infrastructure.
  • Support your fellow teammates.


- Basic Qualifications -

  • BS/MS/Ph.D. in Computer Science or a related discipline, or equivalent experience.
  • 8+ years of experience in Software Engineering
  • Expert level in one of the following programming languages: Go, Java, C/C++, Python, JavaScript, or Typescript.
  • Build System Expertise: Deep knowledge of at least one build system such as Bazel, Buck, Pants, Nix or similar.


- Preferred Qualifications -

  • Experience contributing to and improving open-source projects like Bazel, Bazel rules, and others.
  • Experience working on large scale monorepos
  • Experience in developing/operating high performance and large scale distributed systems in production. Sound understanding of fundamentals and principles of distributed syste...

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