About The RoleAt Uber, Python is used for our Machine Learning and Data Storage infrastructure. This role involves designing, developing and scaling a robust platform and tools to solve Uber’s unique build, code, and dependency management challenges in our Python code base. This Includes (but Is Not Limited To)You will help delight our engineering teams, and enable the whole engineering organization to iterate rapidly.

• Developer Tools
• Build Systems
• Dependency and Artifact Management systems
• Next-gen development environment for engineers

If you enjoy enabling other engineers to be productive, discussing anything from developer tools to kernels, and you measure the success of your projects in “nines”, we would like to talk to you. 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 code hosting 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, capture requirements and enable successful adoption of development tools and best practices.
• Solve sophisticated technical challenges involving multiple technology stacks
• Mentor and support your fellow teammates.

Basic Qualifications

• BS, MS or PhD degree in computer science, similar technical field of study or equivalent practical experience.
• 5+ years professional software development experience
• Deep Python Experience, or experience with multiple other programming languages and/or language design
• Good SRE skills or passion to learn (monitoring, alerting, writing runbooks), mindset should be around getting 99.99% of critical availability/reliability metrics
• Knowledge of different compilation steps (and ability to troubleshoot) in languages such as C, C++, Fortran, D, or Rust

---- What the Candidate Will Do ----

• Experience working on Machine Learning infrastructure and tooling
• Experience using and extending Bazel
• Experience with package and dependency management systems
• Experience with developing and maintaining C libraries, including cross-compilation
• Experience working with teams spanning geographic locations and time-zones
• Linux operating system knowledge

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.