Ml Ops Infrastructure Engineer

Centific Global

Remote
$150k annually
Hybrid
Gpu compute and hardware infrastructure
Kubernetes and container orchestration
Mlops pipelines and ai workload management
Our Vision AI platform runs where the data is generated — on-premises, inside government facilities, and at the network edge — not in a hyperscaler cloud

Job Summary

  • Our Vision AI platform runs where the data is generated — on-premises, inside government facilities, and at the network edge — not in a hyperscaler cloud.
  • As our MLOps / AI Infrastructure Engineer, you will own all of it.
  • Hands-on ownership of some of the most demanding AI infrastructure in the public sector — H200 GPU clusters, high-bandwidth interconnects, and purpose-built on-premises deployments.

Matching Summary

Our Vision AI platform runs where the data is generated — on-premises, inside government facilities, and at the network edge — not in a hyperscaler cloud.

Salary

$150K Annually

Skills & Requirements

Must-have

  • GPU compute and hardware infrastructure
  • Kubernetes and container orchestration
  • MLOps pipelines and AI workload management
  • Networking and storage architecture
  • NVIDIA GPU infrastructure expertise
  • Production-level Kubernetes administration
  • Software-defined storage experience

Nice-to-have

  • Air-gapped network environments
  • CMMC Level 2/3 assessment processes
  • NVIDIA DGX Systems
  • Deploying Kubernetes at the edge
  • Observability stacks
  • SCADA, ICS, or OT network environments

Key Requirements

  • 6+ years infrastructure engineering experience
  • 3+ years managing GPU compute clusters or HPC
  • Working knowledge of NIST SP 800-171 controls
  • Proficiency with infrastructure-as-code tooling
  • Strong Linux systems administration skills
  • Excellent written communication skills

Work Rights

US Person status or active security clearance — advantageous for certain client site engagements.

Tailored Resume

Cover Letter