Sr. Software Engineer

Uber
Sunnyvale, United StatesPosted 25 March 2026

Job Description

Sr. Software Engineer Department: Engineering Team: Backend Location: Sunnyvale, United States Type: Full-Time **About the Role** Uber's Enterprise Payment team is building and evolving the best-in-class business systems for Invoicing the B2B Customers, which enables experiences and tools for reliable, configurable, and intelligent business lifecycle management. The platform delivers an end-to-end B2B experience across onboarding, invoicing and collections, enabling cost-efficient business growth for Uber LOBs like U4B, Direct, Ads, G&R etc. As a Sr Software Engineer on the team, you will own the end-to-end delivery of large initiatives from design to production, and deliver the key features and initiatives while building high-quality, reliable and scalable systems. You will support and advise other engineers on their projects and mentor the teammates. You will partner closely with engineering leadership, product managers, data science, and technical program managers to shape roadmaps. Your work will directly impact the lives of Uber’s partners (drivers, couriers, vehicles), riders, eaters and operations teams around the world. **What the Candidate Will Need / Bonus Points** \-\-\-\- What the Candidate Will Do ---- 1. Design, build, scale, monitor, and maintain a highly critical set of services. 2. Lead, own, and deliver multiple high-impact and complex projects and features from conception through production. 3. Collaborate closely with Product Managers, Data Scientists, and other cross-functional engineering teams to drive execution and deliver results. 4. Support the onboarding, and mentoring junior engineers, fostering technical growth across the team. \-\-\-\- Basic Qualifications ---- 1. MS/BS in Computer Science (or a related field) with at least 6 years of individual contributor experience as a software engineer. 2. Extensive experience in backend development in Java, Go, or Python. 3. The ability to dive deep into a problem while also appreciating the challenge of understanding broader implications. 4. Proven track record of building large-scale distributed s
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