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 - https://www.uber.com/en-SE/blog/vertical-cpu-scaling
CPU Throttling: Avoiding CPU Throttling in a Containerized Environment - https://eng.uber.com/avoiding-cpu-throttling-in-a-containerized-environment/
uBuild: Fast and Safe Building of Thousands of Container Images - https://www.uber.com/en-US/blog/ubuild-fast-and-safe-building-of-thousands-of-container-images
Cinnamon:
Using Century-Old Tech to Build a Mean Load Shedder - https://www.uber.com/en-SE/blog/cinnamon-using-century-old-tech-to-build-a-mean-load-shedder
PID Controller for Cinnamon - https://www.uber.com/en-SE/blog/pid-controller-for-cinnamon
Cinnamon Auto-Tuner: Adaptive Concurrency in the Wild - https://www.uber.com/en-SE/blog/cinnamon-auto-tuner-adaptive-concurrency-in-the-wild
Unified Config: How We Unified Configuration Distribution Across Systems at Uber - https://www.uber.com/en-DK/blog/how-we-unified-configuration-distribution-across-systems-at-uber/
Up: Portable Microservices Ready for the Cloud - https://www.uber.com/en-DK/blog/up-portable-microservices-ready-for-the-cloud/
Continuous Deployment (CD): Continuous Deployment at Uber - https://www.uber.com/en-SE/blog/continuous-deployment
The Accounter - https://www.uber.com/en-SE/blog/the-accounter
INCA: Deduping and Storing Images at Uber Eats - https://www.uber.com/en-SE/blog/deduping-and-storing-images-at-uber-eats/
ARM:
Adopting ARM at Scale: Bootstrapping Infrastructure - https://www.uber.com/en-SE/blog/adopting-arm-at-scale-bootstrapping-infrastructure
Adopting ARM at Scale: Transitioning to a Multi-Architecture Environment - https://www.uber.com/en-SE/blog/adopting-arm-at-scale-transitioning-to-a-multi-architecture-environment
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