Senior Kubernetes Developer (GPU-Accelerated Compute Platform)
Design and develop Kubernetes-native software to power a next-generation GPU-accelerated compute platform for AI, ML, LLM, and HPC workloads. Focus on building custom operators, controllers, CRDs, and APIs to extend Kubernetes for GPU-intensive environments. Requires deep expertise in Kubernetes internals, Go/Python development, and GPU infrastructure.
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Job Description
Senior Kubernetes Developer
Location: Dallas, TX Preferred
Work Arrangement: Hybrid, 3 Days Onsite / 2 Days Remote
Remote Flexibility: Full remote may be considered for the right candidate
Relocation: Available for qualified non-local candidates
Employment Type: Direct Hire
Overview
Our client is seeking a Senior Kubernetes Developer to design and build the software powering a next-generation GPU-accelerated compute platform supporting AI, machine learning, LLM, and HPC workloads.
This is a software development role focused on Kubernetes, not a traditional DevOps, SRE, or Kubernetes administration position.
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