Note: The job is a remote job and is open to candidates in USA. Sira Consulting is an Inc. 5000 company seeking a Senior Kubernetes Administrator / Platform Engineer to manage Kubernetes platforms supporting AI, GPU, and data-intensive workloads. The role focuses on cluster administration and troubleshooting, platform automation and reliability, GPU-enabled environments, infrastructure collaboration, and operational readiness.
Responsibilities
- Build, administer, and troubleshoot Kubernetes platforms supporting AI and data-intensive workloads
- Troubleshoot control plane, kubelet, CNI, CSI, ingress, service discovery, scheduling, container runtime, and resource issues
- Support GPU-enabled Kubernetes environments, including device plugins, drivers, node health, and workload placement
- Improve platform reliability through automation, standardized configurations, upgrade planning, and cluster validation
- Troubleshoot issues involving storage, network policies, DNS, image pulls, autoscaling, pod eviction, and degraded nodes
- Collaborate with Linux, Network, SRE, and Validation teams to resolve cross-layer infrastructure issues
- Develop reusable runbooks, dashboards, health checks, and operational procedures for day-2 support
- Contribute to platform hardening, tenant readiness, monitoring, and service-level objectives
Skills
- 7+ years of infrastructure/platform engineering experience with deep hands-on Kubernetes administration
- Strong understanding of Kubernetes internals and cluster troubleshooting
- Experience with container runtimes, Helm, GitOps/declarative operations, and cluster lifecycle management
- Experience supporting GPU workloads on Kubernetes in production, lab, or validation environments
- Strong Linux administration skills and understanding of data center network dependencies
- Ability to troubleshoot issues across nodes, pods, networking, storage, and control-plane layers
- Strong scripting and automation skills using Python, Bash, or Go
- Experience with Kubeflow, Argo, Prometheus, Grafana, Loki, or service mesh technologies
- Familiarity with bare-metal Kubernetes and high-performance storage/networking
- Experience working in regulated or high-change-control production environments
- Knowledge of AI/ML infrastructure, GPU clusters, and distributed workloads
Benefits
- Remote work arrangement
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