Staff Backend Engineer - Payments 3P

Staff Backend Engineer - Payments 3P Department: Engineering Team: Backend Location: Bangalore, India Type: Full-Time **About the Role** Staff Engineers at Uber are expected to have a deep impact on a wide variety of technology decisions, spanning many projects across an entire org, and in many cases multiple orgs. We are looking for a technologist who brings experience in multiple domains to bear on building backend applications at scale, and who ideally has in-depth knowledge of microservices, distributed architecture, platforms, tools and frameworks. 3P or (third party integrations) are critical to Uber’s broader company strategy, and Payments plays a central role in enabling it. In the 3P (third-party) integration landscape, Payments is one of the major building-blocks for a successful integration. Integration of Payments in 3P has evolved significantly, requiring a shift from bespoke, high-touch engineering efforts to a scalable, building-block approach. This is critical to Uber’s broader company strategy, and Payments plays a central role in enabling it. As part of the Payment 3P team, you will have direct responsibility for those systems and processes. You will take ownership of key features and initiatives in crafting and building high quality, scalable systems in making paying on our platform reliable and efficient. Your work will directly impact the lives of Uber’s users across the globe. As a Backend Staff Engineer, you’ll provide technical leadership to engineers at Uber and drive technical and product strategy in Uber's “Payments 3P” space within the Payments Experience organization. Additionally, you will seek to understand the customer and the business to a great extent, collaborating with Product almost on equal footing. This is not just about user experience but also about understanding OKRs and investment decisions (e.g. when to platformize, when to spike, level of tech-debt…) This is an outstanding opportunity for a top-tier engineer and strong collaborator who can work with talented people in product, design, data science, operations and engineering to help