WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
Back

AI Infrastructure Engineer (GPU & Kubernetes Platform)

Info Junction LLC
St. Louis, MO, United States
9 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Artificial Intelligence Ubuntu (Operating System) Linux AI Infrastructure Ceph (Software) Graphics Processing Unit (GPU) Kubernetes Machine Learning Operations Terraform

Requirements

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

  • 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)
  • Ensure smooth handoff of production systems with full operational readiness and support knowledge

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

52 sec

Running persistent Linux environments directly on Windows

Ben Breard Ben Breard · World Congress 2025

1:34 min

Essential commands for running and testing Terraform configurations

Hennie Francis · LIVE

2:28 min

Understanding Kubernetes architecture and core cluster components

Marc Nimmerrichter · World Congress 2022

1:30 min

Overlooked AI infrastructure and operational deployment barriers

Stan Girard Stan Girard · World Congress 2024

1:24 min

Comprehensive AI infrastructure stacks at the Linux Foundation

Matt White Matt White · World Congress 2025

3:55 min

Demonstrating .NET installation on Debian and Azure Linux

Silvano Coriani Silvano Coriani · Europe 2026 Virtual

Videos

See all
Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬 thumbnail
24:23
World Congress 2026 Europe • about 2 months ago

Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬

Jeremy Murray

Docker network without Docker thumbnail
28:26
World Congress 2025 • about 1 year ago

Docker network without Docker

Oliver Seitz

Infrastructure as Code: The Developer's Secret Weapon thumbnail
45:04
LIVE • almost 2 years ago

Infrastructure as Code: The Developer's Secret Weapon

Hennie Francis

Understanding Kubernetes in a visual way thumbnail
29:05
World Congress 2026 Europe • about 2 months ago

Understanding Kubernetes in a visual way

Aurélie Vache

Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing thumbnail
27:54
World Congress 2026 Europe • about 2 months ago

Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing

Piotr Zaniewski

A Deep Dive on How To Leverage the NVIDIA GB200 for Ultra-Fast Training and Inference on Kubernetes thumbnail
32:19
World Congress 2025 • about 1 year ago

A Deep Dive on How To Leverage the NVIDIA GB200 for Ultra-Fast Training and Inference on Kubernetes

Kevin Klues

Related articles

See all