> Markdown version of [/jobs/ext/3527452-kubernetes-administrator-ai-infrastructure](https://www.wearedevelopers.com/jobs/ext/3527452-kubernetes-administrator-ai-infrastructure). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Kubernetes Administrator - AI Infrastructure - **Company:** Sira Consulting - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Bash Shell, Computer Clusters, Python (Programming Language), Linux System Administration, Prometheus, Istio, Grafana, Data Center Networking, Containerization, Kubernetes, Machine Learning Operations - **Published:** September 30, 2026 - **Apply:** https://www.thejobnetwork.com/job/d4aa290d-fd4a-4bb6-a6ee-1a829f3fc937/kubernetes-administrator-ai-infrastructure ## About the Role 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.