Infrastructure Engineer
Job in
St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listed on 2026-08-30
Listing for:
ITCAPS LLC
Full Time
position Listed on 2026-08-30
Job specializations:
-
IT/Tech
SRE/Site Reliability, Cloud Computing: Infrastructure & Operations, Systems Engineer
Job Description & How to Apply Below
Role Overview:
Seeking a highly skilled AI Infrastructure Engineer to design, build, and operate scalable GPU-enabled Kubernetes platforms for AI/ML workloads.
Must-Have Skills- Strong Kubernetes experience
- Linux/Ubuntu expertise
- NVIDIA GPUs and NVIDIA stack
- Terraform
- GPU-enabled Kubernetes infrastructure
- Design and manage Kubernetes clusters
- Build and manage GPU-enabled infrastructure
- Deploy and manage Longhorn storage
- Automate infrastructure using Terraform
- Monitor platforms using Prometheus and Grafana
- Troubleshoot and optimize AI/ML infrastructure
- Longhorn or Ceph
- Canonical MAAS, Juju, or Charmed Kubernetes
- Kubeflow or other AI/ML platforms
- CKA or NVIDIA certifications
- Conduct KT sessions on Kubernetes, GPU infrastructure, NVIDIA stack, and storage
- Create technical documentation, runbooks, and training materials
- Conduct hands-on workshops for client teams
- Advise on cloud-native infrastructure, AI/ML operations, reliability, performance, and cost optimization
- Ensure smooth production handoff and operational readiness
- Strong troubleshooting and problem-solving
- Excellent communication and documentation
- Ability to collaborate with ML engineers and data scientists
- Strong focus on automation and platform scalability
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