Senior Cloud Engineer - Efficiency Engineering

Senior Cloud Engineer - Efficiency Engineering Department: Engineering Team: Engineering Location: San Francisco, United States Type: Full-Time **About the Team** We are hiring a Cloud Engineer within the Cloud Engineering & Tech Strategy (CETS) Team at Uber. The CETS team ensures a resilient and scalable tech foundation that supports Uber’s efficient growth and innovation. We drive tech strategy, cloud migration, data center management, and capacity engineering, while ensuring sustainable growth. Within the CETS organization this role supports the Cloud Capacity Operations, Reliability, and Engineering (C.O.R.E) Team focused on infrastructure efficiency, end-to-end capacity management, quota governance, capacity forecasting, multi-region cloud strategy, and cloud migration. **About the Role** As a Senior Cloud Engineer within the Cloud C.O.R.E team you will be a key driver of technical optimization and financial accountability across our cloud environments. You will play a critical role in cloud consumption data analysis, forecasting, and the identification and execution of engineering and financial optimizations. You will leverage your expertise in cloud engineering, data analysis, and machine learning to optimize our infrastructure, improve our forecasts, and deliver efficient growth for Uber. **What you will do** 1\. Identify and spearhead optimization opportunities through analysis of cloud consumption data. 2\. Partner with Compute, Data, and Storage engineering teams to identify, prioritize, and implement platform efficiencies. 3\. Establish key cloud efficiency metrics and partner with engineering to implement efficiency and price-performance optimizations within Uber’s production scaling systems. 4\. Define and manage reporting of cloud consumption metrics and KPIs, ensuring transparency, accuracy, and accountability. 5\. Exercise excellent judgment on engineering/business trade-offs across cloud optimization opportunities (build vs. buy vs. rewrite, velocity vs. efficiency vs. critical features, etc.). 6\. Support commitment strategies, ensuring commitment decisions that optimize spend