Senior Kubernetes Engineer for AI Infrastructure (Remote)

HCLTech; United States; On-site; USD 78,000 - 148,000; Full time

Job summary

HCLTech is seeking a Senior Kubernetes Administrator – AI Infrastructure to lead platform engineering for AI workloads in a remote setting. You will build, troubleshoot, and scale Kubernetes platforms supporting model development, training, and inference services.

Ideal candidates have 7+ years in infrastructure, deep Kubernetes expertise, experience with GPUs, Helm, GitOps, and strong Linux networking. Remote work with competitive compensation and benefits.

Qualifications

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

Responsibilities

• Build, administer, and troubleshoot Kubernetes platforms used for AI and data-intensive workloads.
• Diagnose failures across control plane components, kubelet, CNI, CSI, ingress, and scheduling.
• Support GPU-enabled Kubernetes environments, including device plugin behavior and drivers.
• Improve platform reliability through automation, configuration standards, upgrade planning, and validation gates.
• Investigate storage throughput, network policy, DNS, image pulls, autoscaling, and degraded node states.
• Collaborate with Linux, network, validation, and SRE teams to resolve cross-layer issues.
• Create reusable runbooks, dashboards, and health checks for day-2 operations.
• Contribute to platform hardening and tenant readiness.

Skills

Kubernetes admin

Linux admin

Python

Bash

Go

GPU workloads

Cluster troubleshooting

GitOps

Helm

Declarative ops

Networking basics

Tools

Kubeflow

Argo

Prometheus

Grafana

Loki

Service mesh

Bare-metal Kubernetes

High-performance storage

Job description

HCLTech is seeking a Senior Kubernetes Administrator – AI Infrastructure to lead platform engineering for AI workloads in a remote setting. You will build, troubleshoot, and scale Kubernetes platforms supporting model development, training, and inference services.

Ideal candidates have 7+ years in infrastructure, deep Kubernetes expertise, experience with GPUs, Helm, GitOps, and strong Linux networking. Remote work with competitive compensation and benefits.