AI DevOps Systems Administrator

Core Responsibilities

• Architect, deploy, and support scalable environments for AI/ML training and inference workloads
• Build and maintain automated CI/CD workflows for machine learning models and AI-driven applications
• Administer and fine-tune Linux-based systems across physical and virtual infrastructures
• Implement and manage containerized environments using tools such as Docker and Kubernetes to support scalable ML services
• Utilize Infrastructure as Code (IaC) solutions (e.g., Terraform, Ansible) to automate provisioning, configuration, and system management
• Optimize allocation and usage of GPU resources for compute-intensive workloads
• Establish monitoring, logging, and alerting frameworks to ensure system health, availability, and performance
• Partner with engineering teams to troubleshoot issues, improve workflows, and meet infrastructure requirements

Additional Responsibilities

• Install, configure, and maintain software and system components
• Diagnose and resolve technical issues, including access control and permissions
• Provide guidance and training to users on system functionality
• Manage daily operations of server environments across both physical and virtual platforms
• Configure, maintain, and troubleshoot hardware, operating systems, and network interfaces
• Investigate and resolve system alerts, ensuring continuity of services
• Develop scripts to streamline and automate repetitive operational tasks
• Collaborate directly with stakeholders to identify, isolate, and resolve system-related issues impacting broader services

Qualifications

• Minimum of 8 years of relevant experience OR a Master's degree with 6+ years of experience
• Bachelor's degree in Computer Science, a related discipline, or equivalent experience
• Deep expertise in server-based operating systems
• Strong proficiency in Linux OS environments, containerization, and AI/ML infrastructure
• Hands-on experience with Docker, and Kubernetes, along with a strong background in AI and DevOps environments
• Proven ability to serve as a subject matter expert and mentor team members
• Advanced troubleshooting skills across operating systems, networking, and storage technologies
• Hands-on experience building, deploying, and maintaining enterprise-scale server environments
• Exposure to or experience working with AI/ML workloads is highly desirable
• Willingness to travel occasionally