Quick Overview
Salary
$170k/yr
Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
Yesterday
ShellAWSMLflowBashCUDAGoogle CloudHelmKubernetesPythonSchedulingTerraform
Job Description
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 Skills
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 Skills
- Kubernetes 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.
- Multi-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
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