Senior Software Engineer - Privacy & Security

Senior Software Engineer - Privacy & Security Department: Engineering Team: Backend Location: San Francisco, United States Type: Full-Time **About the Role** We are seeking a **Senior** **Software Engineer** with strong technical fundamentals, good engineering intuition, and a builder’s mindset to join our Privacy & Security Engineering team. In this role, you’ll work closely with other engineers and cross-functional partners, including Applied Scientists, Data Analysts, and Product and Program Managers, to design and implement tools, services, and platforms that solve real-world problems. You should thrive in uncharted territory. You’ll help develop customer and internally-facing privacy and security systems and shape how they’re built at Uber scale. **\-\-\-\- What the Candidate Will Do ----** 1. Build services and backend platforms that interface with user-facing solutions for Uber customers, partners, and internal stakeholders. 2. Work closely in big data environments and leverage large-scale systems to deliver software solutions at a worldwide scope. 3. Drive excellence by evangelizing and adopting best practices on engineering standards. 4. Stay at the forefront of technology by continuously evaluating new tools, frameworks and methodologies to deliver cutting-edge solutions. **\-\-\-\- Basic Qualifications ----** 01. Experience with Go, Java, Python, or other backend technologies 02. Strong architectural skills and solid understanding of large scale platforms 03. Strong written and verbal communication skills 04. An engineering-focused undergraduate degree 05. 6+ years of software engineering experience 06. Experience working on highly scalable, robust, and fault-tolerant services and platforms 07. Experience collaborating with other engineers and non-tech stakeholders, both to meet short term goals and to create long-term partnerships 08. Experience in web technologies like React or Javascript, full stack development is a plus. 09. Familiarity with GenAI applications or LLM approaches (e.g., Agent-Based, Retrieval-Augmented Generation) is a plus. 10. Familiarity with big data technologies