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Sr Staff Engineer - Core Infrastructure

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Uber
Full Time position
Listed on 2026-07-25
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 267000 USD Yearly USD 267000.00 YEAR
Job Description & How to Apply Below

About The Role

We are seeking a Senior Staff Engineer (L6) to lead the technical strategy and evolution of Uber's Core Infrastructure Platform. As a Senior Staff Engineer, you are the principal architect of an ecosystem that handles 1M+ concurrent trips and massive-scale ML workloads. You will own the technical roadmap for our Compute, Foundations, and Software Networking stack, driving the shift from "Service Provider" to "Strategic Partner."

We aren't looking for a maintainer; we're looking for a visionary who can drive Platform Engineering 2.0. You will solve the "hard problems" of extreme scale-driving fleet utilization from 26% to 40%+, scaling GPU pools for Generative AI, and ensuring "Security by Design" across a global multi-cloud footprint.

What The Candidate Will Do
  • Architect Strategic Efficiency:
    Own the technical vision to drive fleet-wide CPU utilization and unit-cost optimization through ARM adoption (targeting XM+ cores) and silicon diversity.
  • Scale AI & ML Infrastructure:
    Define the architecture for shared GPU pools and high-performance clusters to support 300x larger ranking models and Autonomous Vehicle data ingestion.
  • Modernize the Data Plane:
    Drive the convergence of Uber's networking stack toward industry standards (Kubernetes, Envoy, CNI) while enhancing "Sky Edge" for active-active multi-cloud resilience.
  • Enforce Foundations & Reliability:
    Lead the "100% Done-Done" initiative, ensuring every service follows standardized safe-deployment (Starship) and reaches 100% zero-trust authorization.
  • Agentic Augmentation:
    Integrate AI-driven "Minions" and AIOps into the infrastructure to automate 80% of alerts and unlock thousands of years of developer productivity.
  • Cross-Org Influence:
    Partner with Delivery, Rides, and AV teams to ensure the infrastructure isn't just a container, but a competitive advantage that accelerates their time-to-market.
  • Mentor Staff+ Engineers:
    Act as a force multiplier by coaching the next generation of technical leaders and influencing company-wide engineering standards.
Basic Qualifications
  • 12+ years of software engineering experience , with a focus on massive-scale distributed systems or infrastructure.
  • Proven Track Record at Scale:
    Experience managing infrastructure that supports millions of concurrent users or petabyte-scale data processing.
  • Deep Systems Expertise:
    Mastery of Kubernetes internals, container runtimes, and the Linux kernel, with the ability to debug "impossible" performance bottlenecks.
  • Cloud-Native Fluency:
    Deep experience with cloud-native networking (Envoy, CNI, Service Mesh) and multi-cloud (AWS/GCP) architecture.
  • Coding Proficiency:
    Expert-level proficiency in Go, Java, or C++ .
  • Leadership:
    Demonstrated ability to lead 40+ person technical initiatives and influence VPs and GMs on infrastructure investment.
Preferred Qualifications
  • Hardware/Silicon Strategy:
    Experience optimizing software for ARM architecture or specialized AI hardware (GPUs/TPUs).
  • Open Source Leadership:
    Significant contributions to Kubernetes, CNCF projects, or other major infrastructure open-source communities.
  • AIOps & Automation:
    Experience building self-healing infrastructure or using LLMs/ML to automate infrastructure operations and incident response.
  • Zero-Trust Security:
    Hands-on experience implementing S2S/P2S security models and ransomware-resilient infrastructure.
  • Cost-Aware Engineering: A proven history of driving XXM+ in annual P&L savings through architectural efficiency and resource scheduling.
  • Linux & Kernel Knowledge:
    Understanding of operating systems, Linux kernel performance tuning, or eBPF.
Ready to Ride?

This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.

For New York City, NY-based roles:
The base salary range for this role is USD $267,000 per year - USD $297,000 per year.

For San Francisco, CA-based roles:
The base salary range for this role is USD $267,000 per year - USD $297,000 per year.

For Seattle, WA-based roles:
The base salary range for this role is USD $267,000 per year - USD $297,000 per year.

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