Senior DevOps Engineer

RUSH MEDIA GROUP INC.
Scottsdale, AZ, United States
2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Compensation
$102,344.0 - $150,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence DevOps Linux System Administration Machine Learning Ansible Server Virtualization Data Logging Scripting Containerization AI Platforms Infrastructure Automation Frameworks Information Technology
+5 more
Machine Learning Operations Terraform Network Server Docker Server Operating Systems & Platforms

Job description

  • Design, implement, and maintain scalable infrastructure for AI/ML model training and deployment
  • Build and manage CI/CD pipelines for AI applications and machine learning models
  • Administer Linux-based systems and virtualized server environments
  • Manage container platforms such as Docker and Kubernetes
  • Automate infrastructure provisioning using Terraform, Ansible, or other IaC tools
  • Optimize and manage GPU resources for high-performance computing workloads
  • Implement monitoring, logging, and alerting solutions
  • Troubleshoot server, networking, and storage-related issues
  • Create scripts to automate repetitive operational tasks
  • Collaborate with Data Scientists, ML Engineers, and Infrastructure teams
  • Support physical and virtual server environments in secure enterprise settings

Requirements

Do you have experience in Terraform?, Do you have a Bachelor’s degree?, Clearance Required: TS/SCI with Polygraph

U.S. Citizenship Required

We are seeking an experienced DevOps System Administrator to support advanced AI/ML infrastructure initiatives within a highly secure environment. This role involves managing scalable systems, CI/CD pipelines, GPU resources, Linux environments, and containerized AI platforms supporting mission-critical operations., * Bachelor’s degree in Computer Science or related field with 8+ years of experience

  • OR Master’s degree with 6+ years of experience
  • Strong experience with Linux administration
  • Hands-on experience with Docker and Kubernetes
  • Experience with CI/CD pipelines and Infrastructure as Code
  • Advanced troubleshooting skills across servers, networking, and storage
  • Experience supporting large-scale enterprise environments
  • Ability to mentor junior team members and serve as an SME
  • Active TS/SCI with Polygraph clearance required at time of hirePreferred Qualifications
  • Experience supporting AI/ML infrastructure or machine learning environments
  • Familiarity with GPU resource management
  • Knowledge of automation and scripting tools
  • Exposure to AI-driven operational improvements

What We’re Looking For

  • Strong problem-solving and troubleshooting mindset
  • Team player with excellent collaboration skills
  • Ability to work in fast-paced, highly secure environments
  • Passion for emerging technologies and innovation

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