Sr. Staff Software Engineer, Capacity Engineering

About The Role The Capacity & Efficiency Engineering (CEE) organization is seeking an experienced and highly skilled Sr. Staff Software Engineer to join our dynamic team in San Francisco. This role requires a unique blend of expertise in capacity engineering (Planning, forecasting, allocation), data engineering, and full-stack development. The ideal candidate will be a visionary leader, capable of designing, implementing, and optimizing complex systems to ensure scalability, reliability, and performance. Responsibilities As a Sr. Staff software engineer, you will define and own the vision of this team to drive accountability across the company for multi-billion dollars spent on platforms. Strategic Capacity Management (Planning, Forecasting, & Allocation): Serve as the technical authority for strategic capacity planning and resource allocation. You will work across Uber to forecast future needs, proactively identify organizational capacity gaps, and establish technical guardrails to ensure resource efficiency within our budget. Data-Driven Financial Visibility & Actionability: Architect, design, and lead the development of essential, high-scale Engineering infrastructure. This platform will provide organization-wide visibility and actionability into engineering spend, enabling data-driven optimization. Technical Leadership & System Architecture: Provide technical leadership in designing and building highly available, scalable, and resilient products and core platforms that serve our customers and optimize internal systems. Your architectural decisions will define the future state of our most critical infrastructure. Engineering Excellence & Collaboration: Drive collaboration with peer Sr Staff engineers and engineering teams to champion best practices for system health, robustness, and refactoring. You will mentor senior engineers, setting the bar for code quality, resilience, and longevity across systems. Basic Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 15+ years of experience in software engineering, with a strong focus on capacity engineering, data engineering, and full-stack development. Deep data engineering experience. Proven experience in designing and implementing large-scale, distributed systems. Expertise in cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Strong proficiency in at least one modern programming language (e.g., Python, Java, Go, Node.js). In-depth knowledge of database systems (SQL and NoSQL) and data warehousing concepts. Experience with front-end frameworks (e.g., React, Angular, Vue.js) and back-end frameworks. Excellent problem-solving, analytical, and communication skills. Demonstrated ability to lead and mentor engineering teams. Preferred Qualifications Experience with stream processing technologies (e.g., Kafka, Flink). Familiarity with machine learning/AI and their application in data engineering. Contributions to open-source projects. For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link #J-18808-Ljbffr