Platform Engineer

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

Job Title : Platform Engineer

Note : US Citizen or Green Card candidates

Duration : 160 hours

Location: St. Louis, MO

100% Onsite

Role Overview

Highly skilled AI Infrastructure Engineer to design, build, and operate scalable GPU-enabled Kubernetes platforms for AI/ML workloads.

Job Title : Platform Engineer

Note : US Citizen or Green Card candidates

Duration : 160 hours

Location: St. Louis, MO

100% Onsite

Role Overview

Highly skilled AI Infrastructure Engineer to design, build, and operate scalable GPU-enabled Kubernetes platforms for AI/ML workloads.

Must have skills:

Kubernetes, Linux, Terraform, GPUs and NVIDIA stack

Required Qualifications

• 3-8+ years' experience
• Strong Kubernetes knowledge
• Experience with GPUs and NVIDIA stack
• Linux (Ubuntu) expertise
• Experience with Terraform

Preferred Qualifications

• Longhorn or Ceph experience
• Canonical ecosystem (MAAS, Juju)
• AI/ML tools like Kubeflow
• Certifications (CKA, NVIDIA)

Soft Skills

• Strong problem-solving and troubleshooting mindset
• Ability to collaborate with cross-functional teams (ML engineers, data scientists)
• Clear communication and documentation skills
• Passion for automation and platform scalability

Key Responsibilities

• Design and manage Kubernetes clusters
• Build GPU-enabled infrastructure
• Deploy Longhorn storage
• Automate infrastructure using Terraform
• Monitor systems using Prometheus and Grafana
• Knowledge Transfer & Client Enablement
• Provide structured knowledge transfer (KT) sessions to client teams on all core platform components, including:
  • Kubernetes architecture, operations, and troubleshooting
  • GPU infrastructure (NVIDIA stack, scheduling, resource optimization)
  • Longhorn storage management and performance tuning
  • Canonical ecosystem tools (MAAS, Juju, Charmed Kubernetes)
• Develop and deliver technical documentation, runbooks, and training materials to support ongoing operations
• Conduct hands‑on workshops and guided sessions to enable client teams to independently manage and scale the platform
• Act as a technical advisor, helping client stakeholders understand best practices in:
  • Cloud‑native infrastructure
  • AI/ML platform operations
  • Reliability, performance, and cost optimization
• Ensure smooth handoff of production systems with full operational readiness and support knowledge