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# Kubernetes platform engineer

- **Company:** IT RECRUIT,  LLC
- **Location:** Raleigh, NC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Bash Shell, Computer Networks, Data Centers, Software Debugging, Linux, Domain Name System (DNS), Python (Programming Language), Linux System Administration, Node.Js, Prometheus, Runbook, Service Discovery, Autoscaling, Istio, Grafana, Kubernetes, Bare Metal
- **Published:** August 28, 2026
- **Apply:** https://www.dice.com/job-detail/b9f42a85-4eac-40a6-947b-d53e1b775a75

## About the Role

* 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

## Description

* 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.


## Related Videos

- [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale)
- [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker)
- [Rate-limiting using eBPF and Istio: How to protect your SaaS customers from themselves](https://www.wearedevelopers.com/videos/100220-rate-limiting-using-ebpf-and-istio-how-to-protect-your-saas-customers-from-themselves)
- [Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬](https://www.wearedevelopers.com/videos/100355-running-secure-life-science-research-at-scale-using-hybrid-gpu-hpc-and-kubernetes)
- [Next-gen CI/CD with Gitops and Progressive Delivery](https://www.wearedevelopers.com/videos/1603-next-gen-ci-cd-with-gitops-and-progressive-delivery)
- [All your telemetry data from any source in one place](https://www.wearedevelopers.com/videos/57-all-your-telemetry-data-from-any-source-in-one-place)

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- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
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