Uber Sr Staff Engineer 

United States, West Virginia 

371751934

What the Candidate Will Do

• Architect and evolve backend infrastructure to support Uber’s growing workloads, including deployment engines, autoscalers, and hybrid cloud environments.
• Lead safe deployment and rollback automation across stateless, stateful, and batch workloads, improving resilience and developer efficiency.
• Improve infrastructure security and compliance, including encryption-at-rest, ransomware mitigation, and cloud security best practices.
• Advance Uber’s modernization efforts, including Kubernetes migration, unified workload platforms, and PaaS improvements.
• Optimize Uber’s infrastructure efficiency, focusing on ARM adoption, autoscaling enhancements, and cost-effective compute allocation.
• Mentor engineers and drive technical strategy, ensuring Uber’s backend infrastructure remains cutting-edge, reliable, and scalable.

Basic Qualifications

• 10+ years of experience in backend software development with distributed systems, infrastructure, or cloud platforms.
• Strong expertise in Go, Java, or similar backend languages, with a deep understanding of Kubernetes, cloud infrastructure, and high-scale systems.
• Experience driving large-scale system modernization, performance optimizations, and deployment safety improvements.

Preferred Qualifications

• Experience designing and implementing highly available, efficient, and secure cloud-native architectures.
• Deep understanding of safe deployment strategies, workload automation, and resilience engineering.
• Proven expertise in scaling autoscaling solutions, ARM adoption, hybrid cloud, or GPU support for ML workloads.
• Ability to lead large technical initiatives and drive cross-team collaboration across platform, security, and infrastructure teams.

If You Want to Find Out More

For a deeper dive into some of the technologies and infrastructure innovations at Uber, check out the following resources:

• CPU Scaling : Vertical CPU Scaling –
• CPU Throttling : Avoiding CPU Throttling in a Containerized Environment –
• uBuild : Fast and Safe Building of Thousands of Container Images –
• Cinnamon :
• Using Century-Old Tech to Build a Mean Load Shedder –
• PID Controller for Cinnamon –
• Cinnamon Auto-Tuner: Adaptive Concurrency in the Wild –
• Unified Config : How We Unified Configuration Distribution Across Systems at Uber –
• Up : Portable Microservices Ready for the Cloud –
• Continuous Deployment (CD) : Continuous Deployment at Uber –
• Odin :
• Stateful Platform –
• The Accounter –
• INCA : Deduping and Storing Images at Uber Eats –
• ARM :
• Adopting ARM at Scale: Bootstrapping Infrastructure –
• Adopting ARM at Scale: Transitioning to a Multi-Architecture Environment –

* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .