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MetaRPO

HPC (High-Performance Computing) Consultant

Remote • Posted 3 hours ago • Updated 3 hours ago
Full Time
No Travel Required
Remote
$130,000 - $140,000/yr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Training
  • Terraform
  • Storage
  • Recruiting
  • OCI
  • Kubernetes
  • Machine Learning (ML)
  • Management
  • High Performance Computing
  • ProVision
  • Production Support
  • Google Cloud Platform
  • Job Scheduling
  • Debugging
  • Good Clinical Practice
  • HPC
  • Continuous Delivery
  • Continuous Integration
  • Python
  • Cloud Computing
  • Computer Networking
  • Amazon EC2
  • Amazon EFS
  • Artificial Intelligence
  • Amazon S3
  • Amazon Web Services
  • GPU

Summary

HPC (High-Performance Computing) Consultant

Position Name – HPC (High-Performance Computing) Consultant

Type of hiring – Fulltime

Location – Remote USA

 

 

 

Skill

Experience

Kubernetes

 

Terraform

 

AWS

 

Python

 

HPC/GPU

 

CI/CD

 

Monitoring

 

Troubleshooting

 

Production Support

 

 

 

Job Description:

 

This role is Kubernetes-heavy. You'll operate multi-cloud platform infrastructure where misconfigurations or failed upgrades translate directly into thousands of lost GPU-hours. The clusters are large enough that novel failure modes are routine.

 

Responsibilities

  • Operate Kubernetes platforms (EKS, CKS, GKE) at significant scale across providers. You're responsible for cluster lifecycle, node pool management, networking policy, and maintaining stability during rapid growth.
  • Provision HPC infrastructure through CI/CD system across AWS, CoreWeave, Google Cloud Platform, and OCI, with additional providers to be expanded in the near future.
  • Manage job scheduling to allocate GPU compute across training and inference workloads.
  • Define and maintain SLIs/SLOs. Build monitoring and alerting. Participate in severity escalation response and author post-incident reviews.
  • Coordinate daily with Networking, Storage, Security, and AI/ML platform teams.

 

Requirements

  • 4+ Years in infrastructure engineering, cloud platforms, or HPC.
  • Kubernetes is the core requirement. You should have hands-on experience operating clusters at meaningful scale: node pool sizing, scheduler debugging, CNI troubleshooting, and rolling upgrades across large fleets. Candidates whose K8s experience is limited to small or local environments are unlikely to be a fit.
  • Terraform proficiency. You'll write and review infrastructure-as-code daily.
  • Working knowledge of AWS (EC2, S3, EFS, FSx for Lustre).
  • Python for tooling and automation.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91175902
  • Position Id: 9094191
  • Posted 3 hours ago
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