Kubernetes Platform Engineer - GPU & AI Infra

GTN Technical Staffing; Dallas (TX); Hybrid; USD 165,000 - 210,000; Full time

Benefits offered by this job

Relocation available

Hybrid work model

Job summary

GTN Technical Staffing is seeking a Senior Kubernetes Platform Developer in Dallas to design and build software powering a GPU-accelerated compute platform for AI/ML and HPC workloads. This role focuses on Kubernetes-native software, extending Kubernetes with operators, CRDs, APIs, and scheduling capabilities, rather than traditional DevOps tasks.

The ideal candidate will deeply understand Kubernetes internals, build on top of Kubernetes, and contribute to large-scale GPU infrastructure.

Qualifications

• Strong software development experience with Go, Python, or another modern programming language.
• Hands-on experience building Kubernetes operators, controllers, CRDs, APIs, or other Kubernetes-native software.
• Deep understanding of Kubernetes architecture, controllers, reconciliation, scheduling, RBAC, networking, and cluster lifecycle.
• Experience developing platforms or distributed systems built on Kubernetes.
• Experience with GPU infrastructure and NVIDIA technologies.
• Experience supporting AI/ML, LLM, HPC, or other compute-intensive workloads.
• Strong Linux and distributed systems knowledge.
• Experience with Terraform, Helm, Kustomize, Argo CD, Flux, or similar tooling.
• Ability to troubleshoot across Kubernetes, compute, networking, storage, GPUs, and applications.

Responsibilities

• Develop Kubernetes-native software using Go, Python, or similar languages.
• Build custom operators, controllers, CRDs, APIs, and platform services.
• Extend Kubernetes to support GPU-intensive AI/ML and HPC workloads.
• Develop automation for cluster provisioning, lifecycle management, scheduling, and infrastructure orchestration.
• Build GPU scheduling, allocation, workload placement, and resource-isolation capabilities.
• Integrate NVIDIA technologies including GPU Operator, device plugins, MIG, and DCGM.
• Develop internal tools and APIs for provisioning and managing GPU compute resources.
• Improve platform scalability, GPU utilization, workload performance, and reliability.
• Integrate Kubernetes with high-performance networking, storage, and bare-metal infrastructure.
• Build observability and automated remediation capabilities for distributed compute environments.

Skills

Go/Python

Kubernetes-native software

Kubernetes architecture

Distributed systems

NVIDIA GPU infra

AI/ML workloads

Linux systems

Terraform/Helm

Troubleshooting across stack

Tools

Terraform

Helm

Kustomize

Argo CD

Flux

Job description

GTN Technical Staffing is seeking a Senior Kubernetes Platform Developer in Dallas to design and build software powering a GPU-accelerated compute platform for AI/ML and HPC workloads. This role focuses on Kubernetes-native software, extending Kubernetes with operators, CRDs, APIs, and scheduling capabilities, rather than traditional DevOps tasks.

The ideal candidate will deeply understand Kubernetes internals, build on top of Kubernetes, and contribute to large-scale GPU infrastructure.