HPC (High-Performance Computing) Consultant

METRIX IT SOLUTIONS INC; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

METRIX IT SOLUTIONS INC is seeking an HPC-focused consultant to design, deploy, and operate large-scale Kubernetes platforms across multiple clouds with GPU acceleration support. You will automate infrastructure using Terraform and CI/CD, manage cluster lifecycles, and troubleshoot complex scheduling and networking scenarios.

The role emphasizes collaboration with AI/ML, HPC, and security teams, plus developing Python-based tooling and observability practices for reliability and scalability.

Qualifications

• Expertise across Kubernetes, cloud infrastructure, HPC platforms, GPU computing, Terraform, and automation.
• Potential roles include Platform Engineer, Kubernetes Engineer, HPC Engineer, Cloud Infrastructure Engineer, DevOps Engineer, AI Infrastructure Engineer, or SRE.

Responsibilities

• Design, deploy, operate, and support large-scale Kubernetes platforms across AWS, GCP, CoreWeave, OCI, and other clouds.
• Manage Kubernetes cluster lifecycle activities including provisioning, scaling, node pool management, upgrades, troubleshooting, and performance optimization.
• Support AI/ML and HPC workloads, including GPU-enabled compute infrastructure for training and inference environments.
• Provision and automate cloud and infrastructure resources using Terraform and CI/CD pipelines.
• Troubleshoot Kubernetes scheduling, networking, storage, and platform reliability issues.
• Implement monitoring, observability, alerting, SLIs/SLOs, and incident response processes.
• Collaborate with Networking, Security, Storage, AI/ML, Data Engineering, and Application teams.
• Develop automation and operational tooling using Python and cloud-native technologies.
• Participate in production support, root cause analysis, capacity planning, and platform optimization initiatives.

Skills

Kubernetes (EKS, GKE, AKS, OpenShift,

Cluster Lifecycle Management

Node Pool Management

CNI Troubleshooting

RBAC

Autoscaling

AWS (EC2, S3, IAM, VPC, EKS, EFS, FSx)

Tools

Terraform

GitHub Actions

Jenkins

GitLab CI

Ansible

Python

Job description

Role: HPC (High-Performance Computing) Consultant

Location: Remote

Work Type: Remote-first, with occasional on-site visits to customer offices.

We are looking for a individual contributor with expertise across Kubernetes, cloud infrastructure, HPC platforms, GPU computing, Terraform, and automation. Depending on experience, candidates may be considered for Platform Engineer, Kubernetes Engineer, HPC Engineer, Cloud Infrastructure Engineer, DevOps Engineer, AI Infrastructure Engineer, or Site Reliability Engineer (SRE) roles.

Key Responsibilities

• Design, deploy, operate, and support large-scale Kubernetes platforms across AWS, GCP, CoreWeave, OCI, and other cloud environments.
• Manage Kubernetes cluster lifecycle activities including provisioning, scaling, node pool management, upgrades, troubleshooting, and performance optimization.
• Support AI/ML and HPC workloads, including GPU-enabled compute infrastructure for training and inference environments.
• Provision and automate cloud and infrastructure resources using Terraform and CI/CD pipelines.
• Troubleshoot Kubernetes scheduling, networking, storage, and platform reliability issues.
• Implement monitoring, observability, alerting, SLIs/SLOs, and incident response processes.
• Collaborate with Networking, Security, Storage, AI/ML, Data Engineering, and Application teams.
• Develop automation and operational tooling using Python and cloud-native technologies.
• Participate in production support, root cause analysis, capacity planning, and platform optimization initiatives.

Required Skills

• Kubernetes (EKS, GKE, AKS, OpenShift, CoreWeave CKS)
• Cluster Lifecycle Management
• Node Pool Management
• CNI Troubleshooting
• RBAC
• Autoscaling
• AWS (EC2, S3, IAM, VPC, EKS, EFS, FSx for Lustre)

Infrastructure as Code & Automation

• Terraform
• Infrastructure as Code (IaC)
• GitHub Actions / Jenkins / GitLab CI
• Ansible (Preferred)

Programming & Scripting

• Python
• Bash/Shell Scripting
• Automation Development
• REST API Integration

HPC & GPU Infrastructure (Preferred)

• High-Performance Computing (HPC)
• NVIDIA GPU Platforms
• GPU Scheduling
• CUDA
• Distributed Computing
• AI/ML Infrastructure

Monitoring & Reliability

• Grafana
• Splunk
• SLI/SLO Management
• Root Cause Analysis (RCA)

Preferred Experience

Experience with any of the following is highly desirable: