Staff Software Engineer- Earner Offer Experience

Staff Software Engineer- Earner Offer Experience Department: Engineering Team: Backend Location: San Francisco, United States Type: Full-Time **About the Role** Are you passionate about building intelligent, scalable systems that have a real impact on millions of people? Join us at **Uber** on the **Earner Offer Experience team**, where we empower earners to achieve their financial goals by crafting seamless, personalized, and reliable offer experiences. Our team is at the forefront of creating and evolving systems that power how drivers receive offers, incentives, and promotions – at scale. As a **Staff Software Engineer**, you’ll play a key leadership role in shaping the architecture, driving technical excellence, and setting the long-term direction for systems that support critical components of Uber’s earner platform. You'll collaborate with product, data science, and engineering partners to translate complex business goals into elegant, sustainable engineering solutions – while mentoring others and leading by example. **What the Candidate Will Need / Bonus Points** \-\-\-\- What the Candidate Will Do ---- 1. **Lead by Influence**: Set the technical vision and roadmap for core systems that power personalized offer delivery and earner engagement. 2. **Architect Systems**: Design and evolve backend systems to be scalable, reliable, and flexible enough to support future innovations. 3. **Drive Cross-Org Impact**: Partner closely with platform, data, ML, and product teams across Uber to ensure cohesive and performant system design. 4. **Uphold Engineering Excellence**: Champion high standards for design, code quality, testing, and operational excellence. 5. **Mentor and Uplift**: Guide engineers across multiple teams, offering technical mentorship and fostering a culture of growth and accountability. 6. **Own Delivery**: Take full ownership of projects from concept to production, ensuring timely execution and measurable impact. 7. **Advance Innovation**: Identify technical opportunities and lead the charge in tackling complex infrastructure and product challenges using data-driven decision making. \