**About the Role** 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. \-\-\-- **What you will Do** ---- 1. Design and implement innovative AI/ML solutions to drive automation and significantly reduce customer-facing defects. 2. Writes high-quality code (i.e., reliable, readable, efficient, testable), provides quality code reviews, and creates comprehensive tests and quality documentation using software engineering principles. 3. Participates in on-call rotations and follows best practices to troubleshoot production incidents with some guidance. 4. Monitors product quality in the production environment, identifying, triaging and fixing bugs and inefficiencies. \-\-\-- **Basic Qualifications** ---- 1. Bachelor's degree in Computer Science, or a related technical field, or equivalent practical experience. 2. Architecture skills: Knowledge of data structures and an eye for architecture. Ability to discuss the tradeoff between architectural choices, both on a theoretical and applied level. 3. High coding standards (TDD, Clean Code). 4. Proven track record within a production environment. 5. A phenomenal teammate approach: Believes in achieving more as a team, relies on others' feedback for continuous improvement. 6. Understanding business and design requirements, attention to detail leading to a delightful user experience. \-\-\-- **Preferred Qualifications** ---- 1. Proven experience designing and shipping scalable backend microservices, including expertise with gRPC or REST API development. 2. Minimum 3+ years of experience in hands-on software development, focusing on large-scale distributed systems. 3. Minimum 1+ year of direct experience applying AI-powered tools and frameworks in line with modern industry practices and innovation trends. 4. Expert proficiency in at least one modern object-oriented programming language, such as Java or Go. 5. Operational expertise in monitoring, troubleshooting, and tuning performance for high-throughput, mission-critical production services. For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 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 the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits). Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity 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](https://forms.gle/aDWTk9k6xtMU25Y5A). Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.