Uber
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
Bachelor’s (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.
Compensation and Benefits The base salary range for this role is USD$198,000–$220,000 per year. For all US locations, you will be eligible to participate in Uber’s bonus program, may be offered an equity award, and other types of compensation. You will also be eligible for various benefits. Details can be found at https://www.uber.com/careers/benefits.
Senior Level: Mid‑Senior level. Employment Type: Full‑time. Job Function: Engineering and Information Technology.
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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
Bachelor’s (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.
Compensation and Benefits The base salary range for this role is USD$198,000–$220,000 per year. For all US locations, you will be eligible to participate in Uber’s bonus program, may be offered an equity award, and other types of compensation. You will also be eligible for various benefits. Details can be found at https://www.uber.com/careers/benefits.
Senior Level: Mid‑Senior level. Employment Type: Full‑time. Job Function: Engineering and Information Technology.
#J-18808-Ljbffr