Staff Software Engineer - Compute Platform

Staff Software Engineer - Compute Platform Department: Engineering Team: Backend Location: Sunnyvale, United States Type: Full-Time **About the Role (Only Bay Area)** The Compute Platform team’s mission is to build the next generation of Uber’s container orchestration platform on Kubernetes that is secure, reliable, scalable, and highly efficient. At Uber we have a complex infrastructure spanning both on-prem data centers and cloud. It supports a diverse variety of workloads (stateless, stateful, batch, streaming, ML/AI), each different in its characteristics and requirements. We build solutions to enable user applications/jobs to be deployed anywhere in the world with the touch of a button. We build abstractions to enable Uber developers with infrastructure that just works for every application type. We actively work with the open-source community including Kubernetes and contribute back. We are at the cutting edge of technology and the team regularly presents at industry conferences. Here are some KubeCon sessions (2024 [session](https://kccncna2024.sched.com/event/1i7qJ/share-the-ride-robust-multi-tenancy-in-kubernetes-at-uber-sashank-appireddy-apoorva-jindal-uber) \+ [video](https://youtu.be/ka5oMGh2EiU?si=52dmd7pnOUIAbnZ_), 2023 [session1](https://kccncna2023.sched.com/event/1R2qt/on-the-right-tack-kubernetes-at-uber-scale-aditya-bhave-apoorva-jindal-uber-technologies), [session2](https://kccncna2023.sched.com/event/1R2qq/efficient-resource-utilization-for-batch-compute-on-kubernetes-amit-kumar-kevin-xu-uber)) where we have talked about our team’s work. We are looking for a strong technical leader to drive and craft the technical roadmap & delivery of key initiatives in the Compute Platform org. \-\-\-\- What the Candidate Will Do ---- 1. Lead initiatives through all stages of the project lifecycle, from ideation and design to project planning and execution, by understanding business requirements and providing effective solutions. 2. Develop and document high-quality code to address strategically important problems. 3. Productionize systems across Uber’s fleet while carefully monitorin