Data Center Engineer

About the role

Manage and maintain high-performing compute farms for engineering, testing, packaging, and infrastructure services. Troubleshoot and resolve issues related to Linux, Windows, hardware, networking, and infrastructure. Support hardware/software deployments, infrastructure scaling, and system recovery operations. Collaborate with engineering teams to debug, test, and release next-generation products. Ensure system availability and meet SLA/uptime objectives.

Responsibilities

• Perform hands-on work with servers, GPUs, PCBs, and other data center hardware
• Collect operational metrics and develop Standard Operating Procedures (SOPs) and technical documentation
• Identify and implement improvements for system availability, throughput, testing accuracy, and operational performance
• Partner with platform operations and engineering teams to resolve complex technical issues
• Utilize DCIM tools such as Nautobot; automate processes using Python, Shell, Ansible, etc.
• Administer systems across Linux, Windows, and macOS environments
• Communicate effectively with both technical and non-technical stakeholders
• Maintain and troubleshoot high-performance computing (HPC) environments and clusters (preferred)
• Support compute, storage, networking architecture, and liquid-cooled data center infrastructure (preferred)
• Install, maintain, and troubleshoot GPU infrastructure and dense data center hardware (preferred)

Requirements

• 5+ years supporting data centers, engineering labs, or HPC environments
• Hands-on experience with server hardware, GPUs, PCBs, and system deployments
• Scripting/automation experience (Python, Shell, Ansible, or similar)
• Strong knowledge of TCP/IP, DNS, NFS, SSL, and networking services
• System administration experience (Linux, Windows, macOS)
• Strong troubleshooting and problem-solving skills
• Associate's/Bachelor's degree in Engineering, IT, Computer Science, or equivalent experience

Preferred Qualifications

• HPC cluster administration (BCM, Slurm)
• CCNA or similar networking certification
• Experience with compute, storage, networking architecture, and liquid-cooled infrastructure
• GPU and high-performance computing environments

Key Technologies

• Nautobot, Python, Shell, Ansible
• TCP/IP, DNS, NFS, SSL
• Linux, Windows, macOS
• BCM, Slurm
• GPU Platforms