Senior Kubernetes Engineer

gtn technical staffing • United States

Relocation

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AI Summary

Design and scale next-generation GPU-accelerated compute platforms for AI, machine learning, and high-performance computing workloads. Architect and operate large-scale Kubernetes clusters optimized for GPU workloads. Implement monitoring and telemetry solutions using Prometheus, Grafana, and OpenTelemetry.

Key Highlights

Design and scale next-generation GPU-accelerated compute platforms

Architect and operate large-scale Kubernetes clusters

Implement monitoring and telemetry solutions

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Key Responsibilities

Design, deploy, and operate large-scale Kubernetes clusters optimized for GPU-intensive workloads

Architect container platforms supporting AI/ML, LLM training, and HPC use cases

Implement GPU scheduling strategies, including MIG, sharing, and workload placement optimization

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Technical Skills Required

Kubernetes NVIDIA GPU ecosystem Go

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Benefits & Perks

Competitive base salary + performance bonus

100% company-paid benefits

Relocation available

Job Description

Senior Kubernetes Engineer

Location: Dallas, TX (Hybrid – 3/2) | Relocation available

Type: Direct Hire

• Competitive base salary + performance bonus

• 100% company-paid benefits

Overview

We are seeking a Senior Kubernetes Engineer to help design and scale a next-generation GPU-accelerated compute platform supporting AI, machine learning, and high-performance computing workloads. This role sits at the core of a rapidly expanding infrastructure environment, focused on building high-throughput, highly efficient container platforms across on-prem and hybrid environments.

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