Senior Kubernetes Engineer: GPU AI Infra Platform

GTN Technical Staffing; Dallas (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

GTN Technical Staffing seeks a Senior Kubernetes Engineer to design and scale a GPU-accelerated compute platform, supporting AI, ML, and HPC workloads. You will own large-scale Kubernetes clusters across on‑prem and hybrid environments.

You will partner with platform, HPC, and ML teams to deliver reliable, multi-tenant compute at scale, extending Kubernetes with custom operators and CRDs, and integrating NVIDIA stack components to optimize performance and efficiency.

Qualifications

• Extensive experience operating Kubernetes in large-scale production environments.
• Hands-on work with NVIDIA GPU ecosystem including GPU Operator and device plugins.
• Proficiency in Go or Python for building Kubernetes operators.

Responsibilities

• Design, deploy and operate large-scale Kubernetes clusters for GPU workloads.
• Architect container platforms for AI/ML, LLMs, and HPC use cases.
• Extend Kubernetes via operators and CRDs for automation.
• Integrate NVIDIA ecosystem components and GPU scheduling strategies.
• Drive performance, reliability and incident response.

Skills

Kubernetes

GPU workloads

Go or Python

CI/CD

Go/Python for operators

Tools

GPU Operator

ArgoCD

FluxCD

Terraform

Kustomize

Job description

GTN Technical Staffing seeks a Senior Kubernetes Engineer to design and scale a GPU-accelerated compute platform, supporting AI, ML, and HPC workloads. You will own large-scale Kubernetes clusters across on‑prem and hybrid environments.

You will partner with platform, HPC, and ML teams to deliver reliable, multi-tenant compute at scale, extending Kubernetes with custom operators and CRDs, and integrating NVIDIA stack components to optimize performance and efficiency.