Data Center Operations Engineer

ite or remote support during maintenance windows and incidents.

• Troubleshoot and resolve operational issues related to Linux servers, GPU platforms, networking, and storage infrastructure.

• Support customer and internal deployments, ensuring timely and successful bring-up of GPU servers and clusters.

• Perform InfiniBand fabric bring-up, switch configuration, subnet management, and troubleshooting.

• Conduct daily health checks of Linux systems and infrastructure components, proactively identifying and mitigating risks.

• Install, configure, test, and maintain server hardware (rack and stack, labeling, HDDs, memory, CPUs, RAID batteries, NICs, etc.).

• Install, configure, and troubleshoot networking equipment including routers, switches, and terminal servers for out-of-band management.

• Review and validate equipment deployments against approved design documentation and standards.

• Support data center builds, refreshes, migrations, and expansions while adhering to quality and safety standards.

• Coordinate with vendors and onsite staff for hardware delivery, diagnostics, replacement, and warranty services.

• Utilize monitoring and alerting frameworks to identify issues, escalate appropriately, and ensure timely service restoration.

• Maintain accurate documentation of operational procedures, system configurations, and runbooks.

• Follow established incident management, escalation procedures, and service-level agreements (SLAs).

• Collaborate with global teams across time zones to support operational initiatives and continuous improvement efforts.

• Contribute to process improvement initiatives and ensure adherence to documented policies, processes, and procedures.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.

• Strong hands-on experience in Linux environments, including system administration, troubleshooting, and performance validation.

• Proficiency with Linux command-line tools and shell scripting (Bash or equivalent).

• Experience with cluster bring-up, driver installation, and system-level configuration.

• Hands-on experience setting up and validating GPU servers in clustered environments.

• Experience with end-to-end GPU testing in InfiniBand-based clusters.

• Working knowledge of InfiniBand networking, including switch configuration and subnet management.

• Solid understanding of networking fundamentals, including the OSI model and TCP/IP protocol suite (IP, ARP, ICMP, TCP, UDP, SMTP, FTP, TFTP).

• Experience installing, configuring, and troubleshooting routers, switches, and terminal servers.

• Familiarity with fiber and copper cabling, including IP and SAN deployments.

• Experience managing incident tickets, maintaining acceptable ticket loads, and meeting SLAs.

• Strong organizational skills with meticulous attention to detail in data center environments.

• Ability to follow and enforce documented escalation procedures and operational policies.

• Strong verbal and written communication skills, with the ability to collaborate effectively with cross-functional and global teams.

Preferred Qualifications

• Experience supporting HPC, AI, or large-scale GPU environments.

• Exposure to data center monitoring

• Experience documenting operational processes and maintaining technical runbooks.

• Familiarity with large-scale data center buildouts or refresh programs.

Physical Requirements

• Ability to perform the essential functions of the role, including lifting, moving, and installing equipment weighing 50 pounds or more, with or without reasonable accommodation.

• Ability to work in data center environments, including raised floors, equipment racks, and confined spaces.

• Willingness to work flexible hours, including nights, weekends, and on-call rotations as required.

Work Environment

• On-site data center environment with occasional remote coordination.

• Interaction with hardware vendors, service providers, and internal engineering teams.

• Fast-paced operational setting requiring attention to detail, adherence to safety standards, and rapid problem resolution.

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