AI Infrastructure Engineer (GPU & Kubernetes Platform)

Duration: 160 Hours

Location: St. Louis MO

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

- 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