Drive Efficiency at Scale: Design and implement solutions to increase fleet-wide CPU utilization (targeting 40%+) and accelerate ARM adoption to aggressively optimize Uber’s unit costs.
Modernize for Multi-Cloud: Direct the technical strategy for our "Thrive in Cloud" initiative, ensuring our foundations are resilient, active-active across providers, and capable of rapid regional failover.
Integrate AIOps & Automation: Drive the development of "Agentic" infrastructure tools (e.g., Project Eve for network quality) to automate 80% of alert triaging and incident response.
Champion "Security by Design": Ensure 100% service-to-service authorization and zero-trust networking are baked into the core fabric of our container and networking platforms.
Drive Cross-Functional Impact: Collaborate heavily with Storage, Data, and Product teams to ensure the infrastructure can support 300x larger ranking models and L4 Autonomous Vehicle data ingestion.
Mentor & Scale Talent: Act as a force multiplier by mentoring 5A and mid-level engineers, fostering a culture of "100% Done-Done" and operational excellence across the organization.
Basic Qualifications
Bachelor’s degree in Computer Science, Computer Engineering, or a closely related technical field (or equivalent practical experience).
8+ years of full-time Software Engineering work experience (inclusive of PhD research or equivalent specialized education).
Systems Languages: Deep, hands-on proficiency in Go, Java, or C++.
Distributed Systems Mastery: Demonstrated experience designing, building, and productionizing large-scale, high-availability infrastructure services.
Execution Excellence: A proven track record of leading complex, multi-quarter technical initiatives from initial design through fleet-wide rollout.
Preferred Qualifications
Cloud-Native Depth: Deep knowledge of Kubernetes internals, container runtimes (CRI), and modern networking (CNI/Envoy).
Infrastructure Strategy: Prior experience with hybrid-cloud or multi-cloud migrations and cost-optimization at a massive scale.
Linux & Kernel Knowledge: Strong understanding of operating systems, Linux kernel performance tuning, and/or eBPF.
AI/ML Infrastructure: Experience building or managing compute platforms specifically tailored for GPU scheduling and large-scale model training.
Community Influence: Active contributions to open-source infrastructure projects or a history of presenting at major technical conferences.
For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.
