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Sr. Staff Software Engineer, Capacity Engineering

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Uber

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Location:
United States , San Francisco, California

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Contract Type:
Not provided

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Salary:

202000.00 - 224000.00 USD / Year

Job Description:

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.

Job Responsibility:

  • Serve as the technical authority for strategic capacity planning and resource allocation
  • Architect, design, and lead the development of essential, high-scale Engineering infrastructure
  • Provide technical leadership in designing and building highly available, scalable, and resilient products and core platforms
  • Drive collaboration with peer Sr Staff engineers and engineering teams to champion best practices for system health, robustness, and refactoring
  • Mentor senior engineers, setting the bar for code quality, resilience, and longevity across systems

Requirements:

  • 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

Nice to have:

  • 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
What we offer:
  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • Eligible for various benefits

Additional Information:

Job Posted:
January 28, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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