Uber Senior Staff Engineer - Developer Platform Gen AI 

United States, West Virginia 

794266180

You will help Uber’s engineers iterate faster so that they can deliver more delight to riders, drivers and earners using Uber’s platform. The ideal candidate will be a technical leader that will influence investments across the organization, including investments in the following areas:

• Integrated Development Environment (IDE)
• Inner-loop process improvements (build / test / run)
• Build Systems and test optimizations

As a Senior Staff Engineer on the Backend Platform team, you will apply your expertise to optimize engineering efficiency in many ways, including but not limited to the following:

• 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.
• Handle upstream and downstream dependencies, collaborate with other engineering teams, capture requirements and enable successful adoption of development tools and best practices.
• Tackle sophisticated technical challenges involving multiple technology stacks
• Mentor and support your fellow teammates.

• Bachelor's Degree in computer science or similar technical field of study or equivalent practical experience.
• 10+ years professional software development experience, including experience as a technical lead for multiple engineering pods.
• Experience in developer tooling or developer productivity spaces
• Knowledge of different compilation steps (and ability to fix) in languages such as Go, C, C++, or Java.
• Experience using metrics to measure and improve developer experience.

• Masters or PhD in computer science or equivalent technical field of study
• Experience using Generative AI and Machine Learning Infrastructure to concretely impact engineering efficiency
• Experience building and iterating on code review (phabricator, GitHub), automation test infrastructure (unit, integration, E2E), and build systems (Bazel / buck)
• Experience working with teams spanning geographic locations and time-zones
• Linux and Kubernetes system knowledge

For San Francisco, CA-based roles: The base salary range for this role is USD$252,000 per year - USD$280,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$252,000 per year - USD$280,000 per year.