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Sr. Staff Software EngineerThe 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.

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. Your scope will include building deep analytical tools for understanding consumption patterns of infrastructure, liaising with stakeholders across the company to find inefficiencies and work with them to make our systems lean and efficient. You'll build and enhance our capacity analytics products that help drive our cost-to-serve efficiency programs while we grow Uber's infrastructure in the cloud.

Responsibilities

As a Sr. Staff Software Engineer, you will be the key technical leader driving efficiency, scalability, and financial accountability across Uber's engineering organization.

You will leverage deep Data Engineering expertise to architect systems that directly influence strategic resource decisions.

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.

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.

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.

• 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 QualificationsBachelor's or Master's degree in Computer Science, Engineering, or a related field.

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Deep data engineering experience.

In-depth knowledge of database systems (SQL and NoSQL) and data warehousing concepts.

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

For Seattle, WA-based roles: The base salary range for this role is USD$202,000 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.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.