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Customer Obsession builds the intelligence layer that minimizes customer defects across Uber Rides, Uber Eats, and all our products. You will tackle a core problem: replacing fragmented, manual support with reliable, AI-driven automation at massive scale. This requires building extensible systems that anticipate user needs before they become tickets. This is a demanding technical environment, pioneering large projects like new automation platforms. Success requires systems thinking and the grit to ship reliable, high-volume code in a constantly changing domain. You will directly influence how Uber fosters long-term trust and loyalty with millions of users globally.
Job Responsibility:
Architect and implement innovative AI/ML solutions to drive automation and significantly reduce customer-facing defects
Own feature development end-to-end, translating vague product and operational problems into clear technical designs and production-ready code used by millions of customers
Design and deliver scalable, multi-tenant backend services and platforms to power real-time support experiences (from messaging to in-app self-service)
Define and champion the operational health, monitoring, reliability, and incident response processes for mission-critical support systems
Identify and advocate for core architectural changes across Uber's engineering ecosystem to ensure our support platform is highly resilient, extensible, and performant
Collaborate closely with product managers, data scientists, and partner engineering teams to scope requirements, drive consensus, and integrate complex technical capabilities
Requirements:
Bachelor's degree in Computer Science, or a related technical field, or equivalent practical experience
Proven experience designing and shipping scalable backend microservices, including expertise with gRPC or REST API development
Expert proficiency in at least one modern object-oriented programming language, such as Java or Go
Nice to have:
Minimum 5+ years of experience in hands-on software development, focusing on large-scale distributed systems
Minimum 1+ year of direct experience applying AI-powered tools and frameworks in line with modern industry practices and innovation trends
Demonstrated success decomposing highly complex, ambiguous business problems into clean, testable, and performant services
Deep operational expertise in monitoring, troubleshooting, and tuning performance for high-throughput, mission-critical production services
Experience navigating and driving consensus across multiple cross-functional and multi-disciplinary engineering and product teams
What we offer:
Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan