Kubernetes Administrator - AI Infrastructure

We are seeking a Senior Kubernetes Administrator / Platform Engineer with strong hands-on experience managing Kubernetes platforms for AI, GPU, and data-intensive workloads. The ideal candidate should have strong cluster troubleshooting, automation, containerization, and Linux administration skills., * 7+ years of infrastructure/platform engineering experience with deep hands-on Kubernetes administration. \n

• Strong understanding of Kubernetes internals and cluster troubleshooting. \n

• Experience with container runtimes, Helm, GitOps/declarative operations, and cluster lifecycle management. \n

• Experience supporting GPU workloads on Kubernetes in production, lab, or validation environments. \n

• Strong Linux administration skills and understanding of data center network dependencies. \n

• Ability to troubleshoot issues across nodes, pods, networking, storage, and control-plane layers. \n

• Strong scripting and automation skills using Python, Bash, or Go. \n, * Experience with Kubeflow, Argo, Prometheus, Grafana, Loki, or service mesh technologies. \n

• Familiarity with bare-metal Kubernetes and high-performance storage/networking. \n

• Experience working in regulated or high-change-control production environments. \n

• Knowledge of AI/ML infrastructure, GPU clusters, and distributed workloads.

n \n

• Build, administer, and troubleshoot Kubernetes platforms supporting AI and data-intensive workloads. \n

• Troubleshoot control plane, kubelet, CNI, CSI, ingress, service discovery, scheduling, container runtime, and resource issues. \n

• Support GPU-enabled Kubernetes environments, including device plugins, drivers, node health, and workload placement. \n

• Improve platform reliability through automation, standardized configurations, upgrade planning, and cluster validation. \n

• Troubleshoot issues involving storage, network policies, DNS, image pulls, autoscaling, pod eviction, and degraded nodes. \n

• Collaborate with Linux, Network, SRE, and Validation teams to resolve cross-layer infrastructure issues. \n

• Develop reusable runbooks, dashboards, health checks, and operational procedures for day-2 support. \n

• Contribute to platform hardening, tenant readiness, monitoring, and service-level objectives. \n

\n