Staff Engineer - Core Infrastructure, Sunnyvale, United States

Uber

Quick summary

Work type
On-site
Location
Seattle, WASan Francisco, CASunnyvale, CA
Posted
32 days ago
Nearby
99+ roles within 25 mi

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Similar $184k
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About Uber

Uber Technologies, Inc. is the world’s largest, San Francisco-based mobile technology platform facilitating on-demand ride-hailing, food delivery (Uber Eats), and freight transportation across approximately 70 countries.

Uber currently has 170 open roles on FindRole.

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TL;DR · Staff Engineer - Core Infrastructure, Sunnyvale, United States

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As a Staff Engineer in Core Infrastructure, you will lead the architectural evolution and development of backend solutions that power Uber’s global operations, focusing on creating a secure, reliable, and hyperscale-efficient cloud-native ecosystem. You will work with stakeholders to design systems capable of handling 1M+ concurrent trips and Generative AI data demands. Key responsibilities include driving efficiency at scale by optimizing CPU utilization and ARM adoption, modernizing for multi-cloud resilience, integrating AIOps tools, championing security practices, and collaborating across teams to support large-scale models and autonomous vehicle data ingestion. The role requires expertise in Go, Java, or C++, distributed systems design, Kubernetes internals, and AI/ML infrastructure, with a focus on hybrid-cloud migrations and cost optimization. You will also mentor engineers and foster operational excellence within the team that builds Uber’s next-generation orchestration and networking layers.

Skills

Kubernetes Go Java C++ Docker CI/CD Terraform AWS Azure GCP PostgreSQL RabbitMQ Prometheus Grafana eBPF ARM Python GitOps

What you'll do

  • Lead the architectural evolution by identifying gaps in Uber’s compute and networking stacks.
  • Design solutions to increase fleet-wide CPU utilization and optimize unit costs through ARM adoption.
  • Develop strategies for multi-cloud resilience, ensuring active-active operations across providers.
  • Integrate AI-driven infrastructure tools to automate alert triaging and incident response processes.
  • Ensure security is embedded into core infrastructure platforms with service-to-service authorization.
  • Mentor engineers and foster a culture of operational excellence and "100% Done-Done."
  • Collaborate on projects to support larger ranking models and autonomous vehicle data ingestion.

What we're looking for

  • 8+ years of full-time software engineering experience with expertise in systems languages like Go, Java, or C++.
  • Proven track record in designing and productionizing large-scale distributed systems and high-availability services.
  • Deep knowledge of Kubernetes internals, container runtimes (CRI), and networking (CNI/Envoy).
  • Experience leading complex technical initiatives from design to fleet-wide rollout across multi-cloud environments.
  • Understanding of Linux kernel performance tuning, eBPF, and infrastructure cost optimization at scale.
  • Background in building or managing compute platforms for GPU scheduling and large-scale model training.
  • Contributions to open-source projects or presentations at major technical conferences.

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