Direct Hire - Full Time position in Scottsdale, AZ Position ID: 2733 An excellent position with a major global technology solutions company * DevOps Systems Administrator * Please apply ONLY if you Have 8 years of relevant experience and excellent Linux skills Visa sponsorship is not available for this position We can ONLY consider your application if you have: 1: Bachelor's degree in Computer Science, a related field or equivalent experience 2: 8+ years of relevant experience (6 with Master's, 12 with no degree) 3: Department of Defense TS/SCI with Polygraph security clearance is required at time of hire 4: Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information 5: Due to the nature of work performed within our facilities, U.S. citizenship is required 6: Advanced understanding of server based operating systems 7: Strong Linux/Container/AI Skills 8: Subject matter expert (SME) with the ability to mentor others on administrating the server environment 9: Enhanced troubleshooting skills within the server OS as well as both networking and storage technologies 10: Hands-on experience developing, deploying and supporting large-scale enterprise server solutions 11: Strong Linux, Docker, Kubernetes, and AI/ML skills We are seeking a skilled AI DevOps System Administrator to build, manage, and optimize the infrastructure supporting Artificial Intelligence and Machine Learning initiatives in a classified environment. The ideal candidate will be responsible for maintaining the CI/CD pipeline for ML models, managing GPU resources, and ensuring the stability, scalability, and security of the AI development and deployment environment. This role requires close collaboration with data scientists and ML engineers to streamline workflows from model development to production. DESIRED (not required) SKILLS: :: Experience working with or familiarity with AI/ML models :: Senior level knowledge of physical and virtual server support :: Senior level knowledge of access, permissions and security that gives the clients the access to the data they need to perform their daily activities Duties and Responsibilities == Design, implement, and maintain scalable and robust infrastructure for AI/ML model training and inference. == Develop and manage CI/CD pipelines for automated building, testing, and deployment of AI applications and machine learning models. == Administer and optimize Linux-based systems and virtualized environments. == Manage containerization and orchestration platforms (e.g., Docker, Kubernetes) to deploy and scale ML services. == Automate infrastructure provisioning, configuration management, and deployment processes using Infrastructure as Code (IaC) tools like Ansible or Terraform. == Manage and allocate GPU resources efficiently for model training and other high-performance computing tasks. == Implement and maintain monitoring, logging, and alerting systems to ensure platform health and performance. == Collaborate with development teams to support their infrastructure needs and troubleshoot issues. == Involved with our client's decision-making process by serving as a front-line interface to users with technical issues and conducting systems analysis and development to keep systems current with changing technologies. == Installing new software, troubleshooting, granting permissions to applications and training users. == Day-to-day support of server services by performing server administration for physical and virtual server operating systems and configuring, maintaining and troubleshooting of physical and virtual hardware and network related interfaces on servers. == Perform, maintain, troubleshoot and conduct a complete analysis of alerts; create scripts to automate repetitive processes and work with customers to identify, isolate, and resolve problems with servers that are affecting other services. == Identifies opportunities to apply AI for continuous improvement and innovation Please send resume to - Amarx Search, Inc. - amarx.com