Senior Software Engineer

Senior Software Engineer Department: Engineering Team: Backend Location: New York, United States Type: Full-Time **About the Role** The Uber Eats Home Feed is the digital storefront for millions of users worldwide. As a Senior Engineer on this team, you will build a hyper-personalized experience that directly drives Uber’s top-line growth. You won't just be ranking restaurants; you’ll be architecting a high-concurrency engine that balances complex objectives across Ads, Grocery, Retail, and Food Delivery. This is a high-stakes, low-latency environment where your code determines how billions of dollars in gross bookings are distributed across diverse lines of business. **\-\-\-\- What the Candidate Will Do ----** 1. Design and develop robust backend services to support the evolving Uber Eats Feed, ensuring sub-second response times for global traffic. 2. Partner with **Product, Data Science, and ML teams** to deliver innovative features that balance user personalization with business goals like Ad revenue and Grocery expansion. 3. Take end-to-end ownership of large-scale features, from initial technical design and RFCs to implementation and post-launch optimization. 4. Architect efficient APIs and storage strategies to handle the real-time data flows required for a dynamic, multi-vertical marketplace. 5. Mentor junior and mid-level engineers through rigorous code reviews, design critiques, and the promotion of engineering best practices. 6. Contribute to the Feed team’s technical strategy by identifying architectural bottlenecks and proposing long-term solutions. **\-\-\-\- Basic Qualifications ----** 1. Professional software development experience, with a proven track record of shipping production-grade backend services. 2. Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience). 3. Strong proficiency in at least one backend language, preferably Go or Java. 4. Demonstrated ability to design and implement distributed systems that handle high traffic and large-scale data sets. **\-\-\-\- Preferred Qualifications