HPC, Kubernetes

SoftPathTechnologies; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

SoftPathTechnologies is seeking an experienced Infrastructure Engineer for a Kubernetes-heavy, remote-first team managing large HPC clusters across clouds. You will operate Kubernetes platforms at scale, ensure stability during rapid growth, and collaborate with Networking, Storage, Security, and AI/ML teams.

You will provision HPC infrastructure via CI/CD across AWS, CoreWeave, GCP, and OCI, manage GPU scheduling, define SLIs/SLOs, and build monitoring and incident reviews.

Qualifications

• 4+ years in infrastructure engineering, cloud platforms, or HPC.
• Kubernetes is the core requirement with hands-on cluster management.
• Terraform proficiency for IaC daily.
• Working knowledge of AWS (EC2, S3, EFS, FSx for Lustre).
• Python for tooling and automation.

Responsibilities

• Operate Kubernetes platforms (EKS, CKS, GKE) at significant scale across providers.
• Provision HPC infrastructure through CI/CD system across AWS, CoreWeave, GCP, 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 post-incident reviews.
• Coordinate daily with Networking, Storage, Security, and AI/ML platform teams.

Skills

Kubernetes

Python

CI/CD

AWS

Tools

Terraform

AWS CLI

GCP CLI

Job description

HPC, Kubernetes (10 positions): 100% US Remote

Fulltime role

AWS customer develops and manages several HPC clusters across AWS, CoreWeave, GCP, and other providers. Several thousand GPUs today scaling to 10X in 2026 and beyond.

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, GCP, 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.