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Uber Logo Uber · IT - Software Development

Sr Staff Software Engineer - Compute Platform

United States, Sunnyvale 267000.00 - 297000.00 USD / Year · Job Posted February 13, 2026
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Job Description

We are seeking a highly experienced Senior Staff Engineer to lead the technical strategy and execution for our Compute Platform team, with a focus on Kubernetes orchestration and cloud-native infrastructure. This individual will be responsible for designing, scaling, and evolving the systems that power our mission-critical applications, enabling developers across the company to build, deploy, and operate services with speed, reliability, and security. As a senior technical leader, you will define architectural direction, guide large-scale initiatives, and mentor engineers while collaborating across product and infrastructure organizations.

Job Responsibility

  • Own the technical vision, architecture, and strategy for the global compute platform org
  • Define and execute the roadmap for our compute platform, focusing on scalability, performance, and efficiency
  • Drive architectural decisions and set technical direction for compute scheduling, resource allocation, and container orchestration systems
  • Ensure high availability and reliability of the compute platform through best-in-class observability, automation, and incident response practices
  • Drive adoption of best practices in scalability, availability, and security for multi-tenant compute environments
  • Evaluate emerging technologies in cloud-native ecosystems and guide their integration into the platform
  • Partner with product and infrastructure teams to deliver high-impact, cross-organizational initiatives
  • Mentor and coach engineers, helping grow their technical depth and leadership skills
  • Influence company-wide engineering standards and practices

Requirements

  • 10+ years of software engineering experience, including expertise in distributed systems or infrastructure engineering
  • Deep expertise in Kubernetes internals, container runtimes, and cloud-native compute platforms
  • Strong background in containerization, resource scheduling, and cluster management at scale
  • Hands-on experience with performance tuning, reliability engineering, and cost optimization in compute environments
  • Excellent leadership, communication, and organizational skills, with a track record of building and mentoring high-performing teams
  • Strong coding proficiency in one or more languages such as Go, Java, or Python
  • Demonstrated ability to drive cross-functional technical initiatives and deliver impactful results

Nice to have

  • Experience with hybrid cloud or multi-cloud compute environments
  • Contributions to open-source Kubernetes or CNCF projects
  • Familiarity with modern stateful data infra and ML platforms running on top of compute infrastructure
  • Knowledge of emerging compute paradigms such as serverless, GPU scheduling, or federated orchestration
  • Prior experience working in fast-paced, large-scale environments with mission-critical workloads
  • Experience mentoring engineers at staff+ level

What we offer

  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • All full-time employees are eligible to participate in a 401(k) plan
  • Eligible for various benefits
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