Dev Ops System Administrator

Moseley Technical Services, Inc.

$126K — $138K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • U.S. Citizenship is required by Federal Law
  • Active Top Secret/SCI with Poly Clearance
  • Bachelor's degree in Computer Science or related field plus 8+ years of experience; OR Master's degree plus 6+ years
  • Strong Linux systems administration experience
  • Hands-on experience with Docker and Kubernetes
  • Experience supporting enterprise server infrastructure in physical and virtual environments
  • Experience with CI/CD pipelines and Infrastructure as Code tools

Responsibilities

  • Design, deploy, and maintain scalable AI/ML infrastructure
  • Build and manage CI/CD pipelines for AI applications
  • Administer and optimize Linux-based server environments
  • Deploy and manage containerized services with Docker and Kubernetes
  • Automate infrastructure provisioning using Ansible or Terraform
  • Manage GPU resources for AI workloads
  • Monitor platform health and troubleshoot system issues

Benefits

  • 401k matching
  • Paid parental leave
  • Healthcare benefits
  • Health & wellness programs
  • Employee resource and social groups
Full Job Description
AI DevOps Systems Administrator

Full-Time with Benefits

Onsite in Scottsdale, AZ | Schedule: 9x80

TS/SCI with Poly Required

Join a mission-focused team building and supporting secure AI/ML infrastructure for advanced defense and intelligence programs in highly classified environments.

Responsibilities:
  • Design, deploy, and maintain scalable infrastructure supporting AI/ML model training and deployment
  • Build and manage CI/CD pipelines for AI applications and machine learning models
  • Administer and optimize Linux-based physical and virtual server environments
  • Deploy and manage containerized services using Docker and Kubernetes
  • Automate infrastructure provisioning and configuration using Ansible, Terraform, or similar IaC tools
  • Manage GPU resources and high-performance computing environments for AI workloads
  • Monitor platform health, logging, performance, and system availability
  • Troubleshoot server, networking, storage, and application issues across enterprise environments
  • Create automation scripts to streamline operational and administrative tasks
  • Support users, manage permissions, install software, and maintain secure server operations
  • Partner with software engineers, ML engineers, and data scientists to support AI development workflows


Qualifications:
  • U.S. Citizenship is required by Federal Law
  • Active Top Secret/SCI with Poly Clearance
  • Bachelor's degree in Computer Science or related field plus 8+ years of experience; OR Master's degree plus 6+ years
  • Strong Linux systems administration experience
  • Hands-on experience with container technologies including Docker and Kubernetes
  • Experience supporting enterprise server infrastructure in physical and virtual environments
  • Experience with CI/CD pipelines, automation, and Infrastructure as Code tools
  • Strong troubleshooting skills across server, storage, and networking technologies

Preferred Qualifications:
  • Experience supporting AI/ML environments or machine learning workflows
  • Experience managing GPU-based compute environments
  • Experience with cloud-native or high-performance computing technologies

Full-Time position with benefits package: including 401k matching, paid parental leave, healthcare benefits, health & wellness programs, employee resource and social groups, and more. Estimated Salary Range: $126,000 - $138,000 (Based on factors such as Government labor categories (LCATs) education, experience, geographic location, etc.)

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