What are the responsibilities and job description for the AI Infrastructure Engineer (GPU & Kubernetes Platform) position at Info Junction LLC?
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
Salary : $90 - $100