AI Platform Engineer - GPU/Kubernetes Onsite

AMroute LLC; St. Louis (MO); On-site; USD 15,429,000 - 26,450,000; Part time

Job summary

AMroute LLC is seeking a Platform Engineer to design, build, and operate scalable GPU-enabled Kubernetes platforms for AI/ML workloads. This onsite role in St. Louis emphasizes hands-on cloud-native infrastructure and collaboration with ML teams. Duration is 160 hours with 100% on-site work.

The ideal candidate brings 3–8+ years of experience, strong Kubernetes and Linux skills, and Terraform expertise to automate and optimize the platform stack.

Qualifications

• 3-8+ years of relevant experience.
• Strong Kubernetes knowledge demonstrated in past roles.
• Experience with GPUs and NVIDIA stack for AI/ML workloads.
• Linux (Ubuntu) expertise is required.
• Terraform experience for infrastructure as code.

Responsibilities

• Design and manage Kubernetes clusters for AI workloads.
• Build GPU-enabled infrastructure and deploy Longhorn storage.
• Automate infrastructure using Terraform and monitor with Prometheus.
• Collaborate with ML engineers and data scientists for platform reliability.
• Deliver knowledge transfer sessions and maintain comprehensive runbooks.

Skills

Kubernetes

Linux

Terraform

GPUs/NVIDIA

Tools

Longhorn

Ceph

MAAS

Juju

Kubeflow

CKA

NVIDIA Certification

Job description

AMroute LLC is seeking a Platform Engineer to design, build, and operate scalable GPU-enabled Kubernetes platforms for AI/ML workloads. This onsite role in St. Louis emphasizes hands-on cloud-native infrastructure and collaboration with ML teams. Duration is 160 hours with 100% on-site work.

The ideal candidate brings 3–8+ years of experience, strong Kubernetes and Linux skills, and Terraform expertise to automate and optimize the platform stack.