Senior Staff Engineer

Developer productivity and product quality are two key investment areas for Uber. This senior staff engineer role involves focusing on improving feature velocity productivity through various verification techniques specifically improving our defense-in-depth testing strategy . In addition to direct engineering work, you?ll be expected to prescribe company-wide tooling or process changes to the development / release / deployment flow to increase efficiency and product quality.

You will help delight our engineering teams, and enable the whole engineering organization to iterate rapidly. The ideal candidate will be a thought leader influencing investments across the organization, including investments in (but not limited to):

1. Appropriately leveraging advanced technologies (static analysis, ML and GenAI) to our test infrastructure
2. Inner-loop process improvements (build / test / run)

If you enjoy enabling other engineers to be productive, discussing anything from developer tools to kernels, you measure the success of your projects in ?nines?, and want to have a direct impact on all developers Uber-wide, we would like to talk to you!

What You'll do:

1. Partner with fellow engineers to innovate, architect, develop and scale Uber's mobile testing and release process, testing infrastructure and toolings
2. Provide initiative and technical leadership to build reliable, high-quality solutions that scale with Uber's engineering processes.
3. Deliver and review technical design, code and documentation.
4. Drive ongoing efficiency and reliability improvements through design and automation: availability, performance, scaling, monitoring and capacity.
5. Set technical directions and build roadmap for mobile testing infrastructure and toolings
6. Manage upstream and downstream dependencies, collaborate with other engineering teams, capture requirements and enable successful adoption of development tools and best practices.
7. Solve sophisticated technical challenges involving multiple technology stacks
8. Mentor and support your fellow teammates.

What You'll need:

1. BS, MS or PhD degree in computer science, similar technical field of study or equivalent practical experience
2. 12+ years professional software development experience, 5+ years of tech lead experience for multiple engineering pods
3. A strong ability to architect and design robust, high-scale systems and to challenge engineers to think bigger and more generically in developing their solutions
4. Experience in developer tooling and developer productivity
5. Demonstrated experience using metrics to measure and improve product quality, as well as the quality of verification systems

Preferred Qualifications:

1. Experience in building testing infrastructure, production monitoring and debugging tools
2. Experience in leveraging Generative AI and Machine Learning to improve software quality and engineering productivity
3. Experience in both backend and mobile development
4. Experience working with teams spanning geographic locations and time-zones