About the Role As an Engineering Manager at Uber, you will be leading a group of engineers working with product managers, data scientists, and other engineering teams to build global platform solutions to ingest Catalog and Inventory data for all Uber Eats merchants. Opportunities of this scale are extremely rare in Latam. Uber is redefining the future of grocery & retail. A company that started by transporting people from place to place, now transports nearly anything a customer could want or need, on-demand. The Grocery Engineering Team is responsible for ensuring that as we move to transport more than just people & restaurant food, our platform evolves to provide a best-in-class experience for customers, earners, and brands. Today this team is focused on grocery, but will continue to flex into a longer tail of categories in the future. - What the Candidate Will Do - Directly own an engineering team passionate about learning and iterating with velocity. Challenge engineers to design innovative, highly-scalable, and robust systems. Build trust and foster a collaborative team culture. Build a strong brand and be able to attract and retain talent. Strategize and influence the product vision and roadmap in collaboration with the product and business team. Mentor other engineers and build a strong culture of quality, handle conflicts well and help build consensus. - Basic Qualifications - Bachelor's degree or higher in an engineering field (e.g. Computer Science, Computer Engineering, Information Technology etc.). A strong ability to architect and design robust, high-scale systems and to challenge engineers to think bigger and more generically in developing their solutions. Advanced English to communicate with a global engineering team. - Preferred Qualifications - Experience working with multi-functional, globally distributed teams to coordinate work and deliver solutions that span multiple teams. Collaboration with PMs, designers, data scientists, and infrastructure teams to identify, prioritize and solve problems. Working actively on career mentor & development, handle performance & conflicts, influence cross-functional teams. Track record of managing, recruiting, and retaining strong engineering talent and growing effective teams. Desire knowledge about large-scale, distributed systems, including SQL/NoSQL storage, transactional updates, asynchronous processing with message queues like Kafka, logging, system monitoring, and performance tuning. #J-18808-Ljbffr