**About the Role** Uber is on the lookout for 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. If you love working on software platforms that touch the physical world and want some serious production experience at exponential growth, this is it. **\-\-\-\- What the Candidate Will Do ----** As a Backend Engineer at Uber, you'll be working 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 will work on design, development and maintenance of services, frameworks, and solutions to support user-facing products, downstream services, or infrastructure tools and platforms used across Uber. You are passionate and pragmatic technologists who are able to design scalable systems while delivering efficient code. 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. **\-\-\-\- Basic Qualifications ----** - BS or MS in Computer Science or a related technical discipline, or equivalent experience. - Experience coding with C++, Java, Python, or Go - Systematic problem solving approach and knowledge of algorithms, data structures and complexity analysis. - At least 5 years of software engineering experience **\-\-\-\- Preferred Qualifications ----** - Experience with highly distributed systems. - Knowledge of privacy technologies, such as anonymization, purposeful limitation, and differential privacy. - Good understanding of encryption, GenAI, & Production-scale model deployment. For San Francisco, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 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](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](https://forms.gle/aDWTk9k6xtMU25Y5A). 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.