Senior Software Engineer - Compute Platform

Job Description

About The Role We are seeking a strong Senior Engineer to contribute to the design, development, and scaling of our Compute Platform with a focus on Kubernetes orchestration and cloud-native infrastructure. You will help build and evolve the systems that power Uber's mission-critical applications, enabling developers across the company to deploy and operate services with speed, reliability, and security. In this role, you will work on key architectural components, drive high-impact technical initiatives, and collaborate closely with cross-functional teams across product and infrastructure. What You Will Do Design, build, and enhance core components of Uber's Kubernetes-based Compute Platform, focusing on reliability, scalability, and global availability. Implement and optimize Kubernetes controllers, operators, CRDs, and multi-cluster management features to support diverse workloads across on-prem and cloud environments. Work on runtime systems-containerd, Docker, CRI-O-improving image lifecycle, sandboxing, security, and end-to-end pod execution performance. Develop and evolve the infrastructure abstraction layers and APIs that enable developers to deploy, manage, and scale stateful, batch, and mission-critical services with minimal operational overhead. Lead technical initiatives around scheduling, autoscaling, resource management, and workload placement to improve cluster efficiency and ensure high availability. Collaborate with cross-functional teams including Networking, Storage, ML Infra, Developer Productivity, and Data Platform to build solutions and elevate the overall developer experience. Debug, troubleshoot, and resolve complex issues across Linux systems, container runtimes, Kubernetes control plane, and distributed compute workflows. Contribute to architectural discussions, influence long-term design decisions, and help maintain a high technical bar within the Compute Platform team. What You'll Need 8+ years of software engineering experience, including expertise in distributed systems or infrastructure engineering. Bachelors degree in Compute Science or related field Experience in Golang, Java, Python, C/C++ Background in large-scale backend infrastructure Knowledge of cluster management solutions such as Mesos or Kubernetes Understanding of container technologies such as docker or containerd Knowledge of operating systems and linux kernel