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Senior DevOps Engineer

RuShaM IT Services LLC

USonsite$102k-$150k/yrPosted Jun 3, 2026

Skills

kubernetesterraformansibledockercicdtypescriptml

About the role

DevOps System Administrator (AI/ML Infrastructure) – Full Time

Scottsdale, Arizona (Onsite – 100%) 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.

Key Responsibilities

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

Required Qualifications

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

Pay: $102,344.36 - $150,000.42 per year

Benefits:

Relocation assistance

Application Question(s):

Do you have an active DoD TS/SCI with Poly clearance?

Work Location: In person

Compensation

This DevOps / SRE role pays $102k-$150k/yr. Within typical range for devops / sre roles in United States.

Questions about this role

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