Senior Kubernetes Platform Engineer – AI Infrastructure (W2 Position)

Role Summary
We are seeking a senior Kubernetes platform engineer to support AI infrastructure environments used for model development, distributed training, inference services, and shared platform operations. The role requires deep cluster troubleshooting expertise in mixed bare-metal and data center environments.

Responsibilities

• Build, administer, and troubleshoot Kubernetes platforms supporting AI and data-intensive workloads.
• Diagnose failures across control plane components, kubelet, CNI, CSI, ingress, service discovery, scheduling, node lifecycle, container runtime, and resource isolation.
• Support GPU-enabled Kubernetes environments, including device plugin behavior, driver dependencies, node health, and workload placement.
• Improve reliability through automation, standardized configuration, upgrade planning, and cluster validation gates.
• Investigate issues involving storage throughput, network policy, DNS, image pulls, autoscaling, pod eviction, and degraded node states.
• Partner with Linux, networking, validation, and SRE teams to resolve cross-layer failures.
• Create reusable runbooks, dashboards, and health checks for day-2 support.
• Contribute to platform hardening, tenant readiness, and service-level objectives.

Required Skills

• 7+ years of infrastructure engineering experience.
• Deep hands-on Kubernetes administration experience.
• Strong understanding of Kubernetes internals and cluster troubleshooting.
• Experience with container runtimes, Helm, GitOps or declarative operations, and cluster lifecycle management.
• Experience supporting GPU workloads on Kubernetes.
• Strong Linux administration background.
• Understanding of data-center networking dependencies.
• Ability to debug from symptom to root cause across node, pod, network, storage, and control-plane layers.
• Scripting and automation skills in Python, Bash, or Go.

Preferred

• Kubeflow
• Argo
• Prometheus
• Grafana
• Loki
• Service mesh technologies
• Bare-metal Kubernetes
• High-performance storage integration
• Regulated or high-change-control production environments

Kindly share updated resume in word format and LinkedIn profile link.

Thanks and Regards,
Shruti Kumari
IT Recruiter / HR - Teknosys, Inc