Position : HPC (High-Performance Computing) Consultant Location: Remote Employment: Full-Time | No Contractors Experience: 10+ Years
Role Summary
We are seeking an experienced HPC / Kubernetes / Cloud Infrastructure Engineer with strong hands-on experience supporting large-scale Kubernetes environments, HPC/GPU infrastructure, AI/ML workloads, cloud platforms, infrastructure automation, and SRE operations.
Mandatory SkillsKubernetes large-scale production environments, cluster lifecycle, node management, upgrades, troubleshooting
Kubernetes Troubleshooting Scheduler, CNI/networking, nodes, storage, and cluster issues
HPC / High-Performance Computing
Slurm
NVIDIA GPU Infrastructure and GPU scheduling
AI/ML Infrastructure and GPU-based workloads
AWS especially EKS, EC2, VPC, IAM, S3, and FSx for Lustre
Terraform / Infrastructure as Code (IaC)
Python automation and coding
Bash/Shell scripting
Monitoring & SRE PrometheGrafana or equivalent, alerting, SLI/SLO, incident response, RCA
Kubernetes Networking Calico or Cilium
Helm, RBAC, autoscaling, and rolling upgrades
Experience supporting large-scale Kubernetes clusters (500+ nodes) is strongly preferred.
Preferred SkillsMulti-cloud: AWS, Google Cloud Platform, CoreWeave
Karpenter
CUDA
AWS ParallelCluster
Lustre / WekaFS
InfiniBand / RDMA
Kubeflow, KServe, Ray, MLflow, or vLLM
Distributed AI/ML training and inference platforms
Ideal Candidate: Strong hands-on Kubernetes + Slurm + NVIDIA GPU + AI/ML Infrastructure + Terraform + Python + AWS/EKS/FSx for Lustre + SRE/Monitoring experience.