DevOps System Administrator (AI/ML Infrastructure) - DoD TS/SCI with Poly

rusham it services llc • United State
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AI Summary

Seeking an experienced DevOps System Administrator to manage cutting-edge AI/ML infrastructure in a secure environment. Responsibilities include Linux administration, container orchestration, CI/CD automation, and GPU resource management. Requires active DoD TS/SCI with Polygraph clearance and onsite presence in Scottsdale, AZ.

Key Highlights
Support cutting-edge AI/ML infrastructure
Requires active DoD TS/SCI with Polygraph clearance
100% Onsite in Scottsdale, AZ
Key Responsibilities
Design and maintain scalable AI/ML infrastructure environments
Build and manage CI/CD pipelines for AI applications and ML models
Administer Linux-based physical and virtual servers
Deploy and manage containerized environments using Docker & Kubernetes
Automate infrastructure provisioning using Terraform/Ansible
Monitor system health, logging, and performance
Support GPU resource allocation and high-performance computing workloads
Troubleshoot server, storage, networking, and deployment issues
Collaborate with AI/ML engineers and development teams
Technical Skills Required
Linux Administration Docker Kubernetes CI/CD Pipelines Terraform Ansible AI/ML Infrastructure Support Server Virtualization Scripting & Automation Enterprise Server Support
Benefits & Perks
Base + Benefits
Relocation Assistance

Job Description


DevOps System Administrator (AI/ML Infrastructure)

Scottsdale, AZ (100% Onsite)

Active DoD TS/SCI with Poly Required

Full-Time

Base + Benefits + Relocation Assistance


Active DoD TS/SCI Clearance with Polygraph is REQUIRED (No exceptions)


Our client is hiring an experienced DevOps System Administrator to support cutting-edge AI/ML infrastructure initiatives within a highly secure environment. This role focuses on Linux administration, container orchestration, CI/CD automation, GPU resource management, and enterprise-scale infrastructure support.

Key Responsibilities
  • Design and maintain scalable AI/ML infrastructure environments
  • Build and manage CI/CD pipelines for AI applications and ML models
  • Administer Linux-based physical and virtual servers
  • Deploy and manage containerized environments using Docker & Kubernetes
  • Automate infrastructure provisioning using Terraform/Ansible
  • Monitor system health, logging, and performance
  • Support GPU resource allocation and high-performance computing workloads
  • Troubleshoot server, storage, networking, and deployment issues
  • Collaborate with AI/ML engineers and development teams
Required Skills

✔ Linux Administration

✔ Docker

✔ Kubernetes

✔ CI/CD Pipelines

✔ Terraform or Ansible

✔ AI/ML Infrastructure Support

✔ Server Virtualization

✔ Scripting & Automation

✔ Enterprise Server Support

Qualifications
  • Bachelor’s degree with 8+ years of experience OR Master’s with 6+ years
  • Strong Linux and containerization expertise
  • Experience supporting large-scale enterprise environments
  • Must be comfortable working onsite in Scottsdale, AZ



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