AI Platform Engineer
Core
Design, operate, and evolve a Kubernetes platform for AI workloads in high-security, air-gapped environments.
Role type
Senior Platform Engineer (MLOps)
Builds
Scalable, automated AI computing infrastructure for military avionics development
Domain
Defense / Aerospace / High-Security Infrastructure
Deliverable
infrastructure
Required skills
Kubernetes, Python, Linux, Infrastructure as Code (IaC), GitOps, GPU administration, Network administration, Storage architecture, Observability, Security hardening
Preferred skills
Military Avionics knowledge, NVIDIA/CUDA driver management, Distributed storage solutions, Private image registry management
Technologies
Kubernetes, Ansible, Terraform, GitOps, NVIDIA/CUDA
Responsibilities
Design and administer Kubernetes environments optimized for AI workloads; Implement Infrastructure as Code and continuous deployment models; Manage air-gapped infrastructures; Administer high-performance GPU nodes; Configure persistent storage and segmented networks; Implement monitoring systems for cluster health and GPU performance; Apply security hardening policies and access controls
Seniority
Professional (3+ years experience)
