Staff Engineer - Home Feed Foundations

Staff Engineer - Home Feed Foundations Department: Engineering Team: Backend Location: San Francisco, United States Type: Full-Time **About the Role** As a Staff Software Engineer on the Uber Eats Feed team at Uber, you will be at the forefront of building and scaling Uber's feed products and its underlying platform. The UberEats Feed team is responsible for the personalized, curated experience that customers see when they open the UberEats app. This includes ML-powered recommendations, merchandising systems, dynamic ranking, and content delivery at scale to millions of users. We build resilient, high-throughput services that bring together data, intelligence, and product logic to power real-time, delightful discovery experiences. **What the Candidate Will Do:** - Design and build robust, scalable backend services to support the UberEats Feed experience for millions of users globally. - Partner with cross-functional teams including product, design, data science, and ML to deliver innovative discovery and personalization experiences. - Lead large projects end-to-end, including technical design, implementation, and performance optimization. - Architect efficient data flows, APIs, and storage strategies to support real-time personalization and recommendations. - Mentor junior engineers and promote best practices in software development, reliability, and architecture. - Influence the technical roadmap and long-term vision of the Feed team and broader Eats organization. **Basic Qualifications:** - Bachelor’s degree in Computer Science, Engineering, or a related technical field. - 8+ years of backend software engineering experience. - Strong proficiency in at least one backend programming language (e.g., Go, Java, Python, C++). - Experience designing and deploying scalable microservices and distributed systems. - Deep understanding of data modeling, APIs, caching, and performance optimization. - Track record of delivering high-impact, production-grade systems in fast-paced environments. **Preferred Qualifications:** - Master’s degree or higher in Computer Science or a related field. - Experienc