Role Description This is a remote contract role for a Kubernetes (K8S) / HPC Engineer | GPU | Linux at SARACA. The engineer will design, deploy, and maintain Kubernetes-based clusters supporting high-performance computing workloads, including GPU-accelerated applications. Daily responsibilities include managing Linux systems, optimizing kernel and OS settings for performance, and ensuring reliable infrastructure for large-scale compute and storage.
The role involves troubleshooting complex system and cluster issues, implementing monitoring and logging, and collaborating with development and DevOps teams to improve scalability and resilience. The engineer will also contribute to automation scripts, documentation, and best practices for secure and efficient HPC environments.
Key Responsibilities
Design, deploy, and manage scalable Kubernetes & HPC platforms
Support AI/ML, engineering simulation, scientific computing & data-intensive workloads
Manage Kubernetes using Docker, Helm & container orchestration technologies
Administer HPC clusters using Slurm, Volcano or similar schedulers
Support NVIDIA GPU infrastructure and optimize AI/ML workloads
Manage Linux infrastructure and automate deployments using Python/Bash
Implement CI/CD, monitoring & infrastructure automation
Troubleshoot and optimize large-scale distributed compute environments
Required Skills
5+ years of Kubernetes / Cloud Infrastructure experience
2+ years of HPC or large-scale compute experience
Strong Kubernetes, Docker, Helm & Linux expertise
Experience with Slurm, Volcano or similar workload schedulers
NVIDIA GPU infrastructure & AI/ML workload experience
Python and/or Bash scripting
CI/CD, monitoring & infrastructure automation
AWS EKS, Azure AKS or GCP GKE
⭐ Preferred Skills:
RDMA / InfiniBand
Parallel & distributed storage
Large-scale GPU/HPC environments
Engineering simulation, semiconductor, AI model training or scientific computing experience
🎯 Ideal Candidate:
A hands-on Kubernetes/HPC Infrastructure Engineer who can work across Kubernetes, Linux, cloud infrastructure, HPC, GPU platforms, automation, troubleshooting, and performance optimization.
📩 Interested or know someone who would be a great fit?
Please share your updated resume Or feel free to DM me directly.
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