GPU-Enabled AI Infrastructure Engineer (Kubernetes)

ITCAPS LLC; St. Louis (MO); On-site; USD 140,000 - 200,000; Full time

Job summary

ITCAPS LLC in St. Louis, MO is seeking an AI Infrastructure Engineer to design, build, and operate scalable GPU-enabled Kubernetes platforms for AI/ML workloads. You will shape the on-prem and cloud-native infrastructure to support advanced analytics and model deployment.

The role requires hands-on experience with Kubernetes, Linux (Ubuntu), NVIDIA stacks, and Terraform, plus a passion for automation, reliability, and cost optimization in AI environments.

Qualifications

• Experience in designing and managing GPU-enabled Kubernetes clusters.
• Strong Linux (Ubuntu) expertise.
• Proficient with NVIDIA GPUs and stack.
• Hands-on with Terraform and IaC.
• Experience with GPU AI/ML workloads.

Responsibilities

• Design and manage Kubernetes clusters.
• Build and manage GPU-enabled infrastructure.
• Deploy and manage Longhorn storage.
• Automate infrastructure using Terraform.
• Monitor platforms with Prometheus and Grafana.
• Troubleshoot and optimize AI/ML infrastructure.

Skills

Kubernetes

Linux/Ubuntu

NVIDIA stack

Terraform

GPU infrastructure

Tools

Longhorn

Ceph

MAAS/Juju/Charmed Kubernetes

Kubeflow

Prometheus

Grafana

Job description

ITCAPS LLC in St. Louis, MO is seeking an AI Infrastructure Engineer to design, build, and operate scalable GPU-enabled Kubernetes platforms for AI/ML workloads. You will shape the on-prem and cloud-native infrastructure to support advanced analytics and model deployment.

The role requires hands-on experience with Kubernetes, Linux (Ubuntu), NVIDIA stacks, and Terraform, plus a passion for automation, reliability, and cost optimization in AI environments.