Data Center Technician L2

The Data Center Operations Technician II - GPU Specialist is responsible for supporting and maintaining highly available GPU-based compute environments, engineering labs, and data center infrastructure. This role partners closely with hardware, software, QA, and systems engineering teams to deploy, troubleshoot, and optimize next-generation computing platforms. The ideal candidate combines strong data center operations experience with a deep understanding of GPU technologies, server hardware, Linux/Windows administration, and large-scale test infrastructure.

• Manage and maintain a high-performance compute farm consisting of builders, packagers, testers, and supporting infrastructure.
• Monitor system health, availability, and performance to ensure operational excellence and SLA compliance.
• Lead system recovery efforts and incident response activities to minimize downtime and restore services quickly.
• Support deployment, configuration, and lifecycle management of GPU servers, workstations, and test systems.
• Perform rack, stack, cabling, hardware installation, and equipment decommissioning activities within the data center.

• Collaborate closely with system architects, hardware engineers, software engineers, QA teams, and platform operations teams to develop, test, debug, and release next-generation products.
• Troubleshoot hardware, software, networking, and infrastructure issues impacting engineering and validation environments.
• Provide technical support for GPU systems, PCBs, servers, storage systems, and network-connected devices.
• Assist engineering teams with validation, benchmarking, and deployment activities for new technologies and platforms.

• Gather operational metrics and performance data to identify trends, risks, and improvement opportunities.
• Develop, maintain, and enhance Standard Operating Procedures (SOPs), runbooks, and technical documentation.
• Drive continuous improvement initiatives that increase availability, throughput, operational efficiency, and test accuracy.
• Participate in change management activities and ensure documentation is kept current.

• Support and troubleshoot Linux, Windows, and macOS environments.
• Utilize scripting and automation tools to streamline operational tasks and improve scalability.
• Maintain accurate asset and infrastructure records using DCIM systems.
• Assist with infrastructure automation and configuration management initiatives.

• Associate's degree or Bachelor's degree in Engineering, Information Technology, Computer Science, or a related technical field; equivalent experience will be considered.
• 5+ years of experience supporting data center operations, engineering labs, high-performance computing environments, or related technical infrastructure.
• Experience working with GPU-based systems, PCBs, servers, and large-scale system deployments.
• Proficiency with DCIM platforms such as Nautobot or similar infrastructure management tools.
• Experience with scripting and automation technologies including Shell, Python, and Ansible.
• Working knowledge of networking fundamentals and protocols including: TCP/IP DNS NFS SSL/TLS
• Experience administering and troubleshooting:
  Linux Windows macOS
• Strong troubleshooting and problem-solving skills across hardware, operating systems, networking, and infrastructure.
• Excellent written and verbal communication skills with the ability to present technical concepts to non-technical audiences.
• Strong teamwork skills and the ability to work effectively in cross-functional engineering environments.

• Experience managing High Performance Computing (HPC) environments.
• Experience utilizing cluster management and workload scheduling platforms such as:
  Bright Cluster Manager (BCM) Slurm
• Industry certifications such as CCNA or equivalent networking certifications.
• Advanced Windows and Linux systems administration experience.
• Understanding of modern data center architecture, including:
  Compute infrastructure Storage platforms Networking systems
• Knowledge of data center facilities infrastructure with emphasis on liquid-cooled environments.
• Experience supporting AI, machine learning, or GPU-intensive workloads.
• Strong mechanical aptitude and comfort performing hands-on hardware installation, maintenance, and repair tasks.

• Data Center Operations
• GPU Infrastructure Management
• Linux & Windows…