Sr Staff Software Engineer

1 week ago

Bengaluru, Karnataka, India Uber Full time ₹ 20,00,000 - ₹ 40,00,000 per year

About the Role

We are seeking a highly experienced Senior Staff Engineer to lead the technical strategy and execution for our Compute Platform team in Bangalore, 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.

What you'll do

  • 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.

What you'll Need

  • 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.

  • Preferred Qualifications -

  • 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.

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