Uber is seeking top-notch backend/data/ML software engineers to join the Data Governance engineering team within the Tech Privacy org. This role involves designing, building, and handling robust distributed systems to solve infrastructure challenges that delight our quickly growing platform engineering and product engineering teams, enabling the whole engineering organization to iterate at top speed in an open, decentralized environment.
As a Backend Engineer at Uber, you'll work on code that's closest to the business. You will build user-facing products, handle and store thousands of transactions per second, and develop intelligent fraud prevention strategies that scale. You'll be responsible for the design, development, and maintenance of services, frameworks, and solutions to support user-facing products, downstream services, or infrastructure tools and platforms used across Uber.
The privacy landscape is constantly evolving, and with the adoption of ML/AI/GAI backed by extensive heterogeneous data, security & privacy threats are inevitably broadened. With your deep and comprehensive expertise across major technology stacks, you will architect, implement and scale industry-leading privacy solutions for the entire company.
This role offers the opportunity to work on software platforms that touch the physical world and gain serious production experience in an environment of exponential growth. You'll be part of a team of passionate and pragmatic technologists who design scalable systems while delivering efficient code.
Uber offers competitive compensation, including a base salary range of USD$185,000 - USD$205,500 per year for this role in both San Francisco and Sunnyvale, CA. Additionally, you'll be eligible for Uber's bonus program, potential equity awards, and comprehensive benefits.