About the Team

　　Developer productivity is a key investment area for Uber. We are looking for a senior engineer who will focus on improving developer efficiency through sophisticated techniques such as Static Analysis, Generative AI and others. In addition to direct engineering work, you'll be encouraged to prescribe company-wide tooling or process changes to the developer flow to increase efficiency and feature velocity

　　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

　　If you enjoy enabling software engineers to be productive, discussing anything from developer tools to kernels, and you measure the success of your projects both "nines" as well as net-satisfaction, we want to talk to you!

　　About the Role

　　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 platformProvide 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 stacksMentor and support your fellow teammates.

　　Basic Qualifications

　　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 spacesKnowledge 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.

　　Preferred Qualifications

　　Masters or PhD in computer science or equivalent technical field of studyExperience using Generative AI and Machine Learning Infrastructure to concretely impact engineering efficiencyExperience 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-zonesLinux and Kubernetes system knowledge

　　For San Francisco, CA-based roles: The base salary range for this role is USD$243,000 per year - USD$270,000 per year.

　　For Seattle, WA-based roles: The base salary range for this role is USD$243,000 per year - USD$270,000 per year.

　　For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.

　　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.