About the Role Are you passionate about building platforms and product experiences that enable millions of people around the world to thrive? Join the Earner Engineering organization, where we build user-facing experiences and the foundational systems that power the earner journey from the moment someone signs up to their 10,000th trip. Our mission is to build trust, ensure safety, and drive efficient growth. You will develop a compassionate understanding of earners' needs alongside an analytical mindset to navigate complex marketplace and pricing dynamics. By joining one of our highly cross-functional teams, you will solve high-stakes problems at the intersection of user experience, regulatory compliance, machine learning, and global scale. About the Team Within our organization, you will have the opportunity to contribute to several key domains. We have multiple teams hiring, and we will match you to the best-fit team during the interview process. Offer Experience: The Offer Experience team builds the high-scale distributed systems that generate and personalize earning opportunities for millions of users globally. We develop the backend platforms responsible for delivering real-time trips, incentives, and promotions tailored to earner preferences and marketplace conditions. Working at the intersection of Data Science and Marketplace teams, we focus on creating reliable infrastructure that improves transparency and drives product innovation. Earner Screenings: The Earner Screenings team builds the engineering systems and workflows that power Uber's background check systems globally for any earner onboarding to the platform. Earner Onboarding: We build the platform and funnel experiences that enable new earners to seamlessly join the Uber ecosystem. Our work reduces friction across complex registration flows, adapts to local regulatory requirements, and supports access to multiple earning opportunities. Earner Intelligence: We build ML-driven solutions to craft personalized experiences across the entire earner lifecycle from acquisition to long-term retention. Our systems employ sophisticated techniques like Causal ML, Multi-armed Bandits, GenAI/LLMs and Deep Learning embeddings to drive efficient business growth and optimize every touchpoint with our earners. Vehicle: We own platforms that power all of Uber's businesses across Mobility, Delivery, and Autonomous. Our platform sits at the center of connected vehicles, autonomous vehicles, moto, and delivery fleets. Earner Access Enforcement: The Earner Access Enforcement team builds the core engine that evaluates eligibility and compliance for every Uber trip worldwide. We design high-scale, centralized systems to enforce safety requirements across all global jurisdictions and business verticals. As one of Uber's most cross-functional teams, we solve complex, "trip-scale" problems that directly impact how millions of earners interact with the platform. Earner Loyalty & Rewards: Join the team building global rewards platforms designed to help Uber earners reach their goals. We combine empathy for earner needs with deep analytical insights into marketplace and pricing dynamics to create inspiring, rewarding experiences. Help us build the tools that empower millions of earners to thrive! What You Will Do - Design & Scale: Own the design, development, and operation of backend services (primarily Golang and Java ) that support millions of users globally. - Technical Leadership: Transform high-level business problems into elegant, maintainable, and well-documented technical solutions. - Cross-Functional Collaboration: Partner with Data Science, Design, and Product to ship features, evaluate impact using data, and iterate based on results. - System Integrity: Drive ongoing efficiency, reliability, and monitoring (alerting/on-call) to ensure our products remain "always-on." - Mentorship: Lead and mentor fellow engineers, fostering a culture of continuous improvement and engineering excellence. Basic Qualifications - Experience: 2+ years of professional backend software engineering experience building and operating production systems at scale. - Technical Stack: Proficiency in at least one general-purpose language (e.g., Go, Java, C++, Python, or C# ). - Systems Design: Hands-on experience with large-scale distributed systems, high-throughput/low-latency architectures, and service-to-service communication. - Ownership: A strong sense of engineering ownership, including a high bar for code quality and proactive technical debt management. Preferred Qualifications - Education: BS/MS/PhD in Computer Science or a related technical field. - Architecture: Experience with microservices , event-driven architectures, and building flexible, configurable "rules engines." - Specialized Skills: Experience with ML/AI implementation , Data Engineering, or handling Personally Identifiable Information (PII) . - Analytical Mindset: Demonstrated ability to make sound engineering/busines