Kubernetes Platform Engineer – Big Data Infrastructure

Job description

Immigration sponsorship is not available for this position Kubernetes Platform Engineer – Big Data Infrastructure What you can expect: You can expect to contribute to Zoom’s Big Data Infrastructure platform, designing and operating open‑source compute engines on Kubernetes. You will help build reliable and scalable systems that power analytics, machine learning, telemetry, and product insights across Zoom. About the Team: The Big Data Infrastructure team is responsible for running open‑source data engines—such as Spark, Flink, and Trino—on Kubernetes. The team owns engine runtimes, automation, observability, multi‑tenant operations, and data lake integrations that support Zoom’s global analytics needs. Responsibilities: Designing Kubernetes infrastructure to run distributed compute engines Building automation and IaC modules using Terraform and Helm Implementing multi‑tenant resource isolation, RBAC, and secure access patterns Operating engine runtimes and control plane components on EKS Integrating data ingestion systems and object‑storage data lakes Managing table operations such as compaction, retention, and partition management Monitoring engine and cluster performance using mo...