**About the Role** Uber is looking for a strong backend and AI-curious Software Engineer II to join the Data Security & Governance engineering team within the Privacy, Security & Risk org. This team builds distributed backend and AI-powered systems that operate at Uber scale, enabling engineering teams to safely adopt and innovate with ML and GenAI technologies. In this role, you will work on foundational platforms that protect Uber’s data and AI ecosystem. You’ll collaborate with senior engineers to design and build reliable, scalable systems, while gaining hands-on experience with production-grade distributed systems and AI-powered detection platforms. **What the Candidate Will Need / Bonus Points** \-\-\-\- What the Candidate Will Do ---- As a Software Engineer II 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 backed by extensive heterogeneous data, security & privacy threats are inevitably broadened. With your deep and comprehensive expertise across major technology stacks, you will design, implement and scale industry-leading privacy solutions for the entire company. \-\-\-\- Basic Qualifications ---- 1. 4 years of professional industry experience and BS or MS in Computer Science or a related technical discipline, or equivalent practical experience. 2. Proficiency in at least one of Go, Java, Python, or C++. 3. Solid understanding of algorithms, data structures, and software engineering fundamentals. 4. Experience building or contributing to production backend or AI systems. \-\-\-\- Preferred Qualifications ---- 1. Experience developing backend or distributed systems such as microservices, APIs, or data-processing services. 2. Familiarity with distributed systems concepts, including reliability, scalability, and performance trade-offs. 3. Exposure to ML or AI systems, including model inference, data pipelines, or ML-enabled features. 4. Interest or experience applying ML/AI techniques to security, privacy, or risk-related problems (e.g., data classification, PII detection, policy enforcement). 5. Experience with system monitoring, observability, and production operations. For Seattle, WA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. 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's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity 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.