Job Details

About the Role

The Uber Home Experience team is shaping the future of how users engage with Uber's flagship app. As a Backend Engineer, you'll play a key role in building the intelligent, personalized systems that power the Uber home screen - the place where millions of users begin their journey with Uber every day.

Our mission is to make the home screen more dynamic, contextual, and action-oriented - helping customers seamlessly move between rides, eats, grocery, and more. Whether a rider is planning their next trip or exploring new offerings, we aim to create a unified, personalized experience that anticipates their needs and makes Uber feel like one cohesive platform.

You'll work closely with teams across Uber's ecosystem - from personalization and discovery to mobility and delivery - to deliver scalable backend systems that enable experimentation, real-time insights, and cross-product visibility at a global scale.

What You Will Do

• Design, build, and maintain scalable backend systems that power the dynamic Uber home screen experience.
• Collaborate with cross-functional teams - including mobile, data, design, and product - to define, architect, and deliver end-to-end experiences.
• Develop APIs and backend services that enable experimentation, personalization, and real-time recommendations.
• Partner with platform teams to improve system performance, reliability, and scalability.
• Contribute to the long-term technical vision for how Uber surfaces its diverse product lines to users in a cohesive and intelligent way.
• Influence product direction by contributing technical insight to roadmap discussions.

Basic Qualifications

• Bachelors (or higher) in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 5+ years of experience in backend development using modern programming languages (e.g., Go, Java or similar).
• Strong understanding of distributed systems, microservices architecture, and API design.
• Experience with scalable data systems, caching, and performance optimization.

Preferred Qualifications

• Experience working with large-scale personalization, ranking, or recommendation systems.
• Familiarity with AI/ML infrastructure.
• Familiarity with Model Context Protocol (MCP).
• Experience integrating AI-driven decision systems or real-time personalization into consumer products.
• Understanding of experimentation frameworks (A/B testing, contextual personalization).
• Proven experience with distributed data systems (e.g., Kafka, Cassandra, Redis, Flink, Spark).
• Passion for creating elegant technical solutions that improve user experience through intelligence and personalization.
• Solid grasp of software engineering best practices: testing, code review, CI/CD, and observability.
• A mindset that embraces experimentation, learning, and collaboration across multiple Uber product lines.

For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at Uber benefits information.

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.