Software Engineer II - Fares Platform

Uber
San Francisco, United StatesPosted 5 March 2026

Job Description

Software Engineer II - Fares Platform Department: Engineering Team: Backend Location: San Francisco, United States Type: Full-Time **About the Role** The Fares Platform Team is at the heart of Uber's business, powering all global fares for our entire ecosystem, from rides and deliveries to new initiatives. Our systems are critical tier-1 components that handle tens of billions of dollars in gross bookings. We own the full stack, including platform fare calculation, data science models for upfront pricing, and the mobile fare experiences that our customers see. As a backend engineer, you'll join a fast-paced, solutions-oriented team to build powerful and robust features for our critical internal configuration platform. You'll make a tangible impact by working closely with a diverse group of stakeholders, including product managers, operations, data scientists, and engineers across the company. **What You'll Do** As a member of the Fares Platform team, you will be instrumental in: - **Building and expanding our core backend systems** to enable new features and support key product launches across Uber's global business. - **Working with stakeholders across the company**—from product managers to data scientists—to deeply understand business problems and develop effective technical solutions. - **Owning the full development lifecycle**, from design and implementation to deployment and monitoring, ensuring the reliability and performance of your systems. - **Maintaining system health** by participating in on-call rotations and proactively identifying and addressing potential issues. **Basic Qualifications** - **2+ years of professional experience** as a backend engineer, with hands-on experience in a language like Go, Java, or Python. - **Experience designing and building large-scale, distributed systems**, with a focus on system reliability, performance, and maintainability. - **A solid understanding of computer science fundamentals**, including data structures, algorithms, and systems design. **Preferred Qualifications** - **Proven track record of building scalable, highly available backen
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