Deployment Engineer

Deployment Engineers

Location :
Memphis(preferred) or remote

• Deploying Client's AI data center infrastructure across new builds, expansions,
• refreshes, and high-density compute deployments
• Racking, stacking, cabling, labeling, and validating servers, PDUs, network
• switches, storage systems, GPU platforms, and related infrastructure
• Installing and commissioning servers, switches, routers, storage systems, GPU
• hardware, and other infrastructure components
• Independently executing defined deployment work streams using runbooks,
• cabling plans, rack elevations, port maps, checklists, and validation
• workflows
• Validating vendor and contractor work against Client standards for rack
• and stack, cabling, labeling, layout, and physical readiness
• Running LLDP checks, link validation steps, internal tools, automation
• workflows, and scripts to confirm cabling and network readiness
• Identifying and resolving common miswires, optic issues, hardware faults,
• communication errors, provisioning blockers, and link inconsistencies
• Troubleshooting hardware, cabling, Linux OS, and network-adjacent issues
• during deployment activities
• Coordinating with vendors and contractors to correct build quality issues
• and confirm completion of assigned work
• Supporting DCTrack, Net Box, inventory, asset tracking, and deployment
• documentation updates
• Submitting RMAs, tracking remote work requests, and managing shipping,
• receiving, and component inventory during deployment projects
• Providing clear status updates on assigned work streams, including
• progress, blockers, risks, and estimated completion
• Partnering with Data Center Operations, Network Engineering,
• Infrastructure Engineering, Logistics, Facilities, Security, and vendors to
• support deployment readiness
• Supporting handoff of deployed infrastructure to steady-state operations
• Participating in lessons learned and contributing to improvements in
• runbooks, validation workflows, and deployment procedures
• Following safety, security, quality, and operational standards while working in
• active data center environments

• Overall 5+ years with 2+ years of experience deploying, operating, or supporting
• infrastructure in AI data center including GPU/HPC systems, cloud, lab,
• networking, or technical operations environments
• Experience deploying and troubleshooting GPU servers, switches, storage
• systems, PDUs, optics, cabling, and related data center infrastructure
• Working knowledge of AI data center cabling standards, rack layouts,
• labeling practices, power paths, and physical deployment best practices
• Strong troubleshooting skills across hardware, cabling, Linux OS, and network
• connectivity issues
• Linux command-line experience, including working with terminal sessions, logs,
• and standard diagnostic commands
• Familiarity with scripting, automation workflows, or tooling used to validate
• hardware, cabling, and connectivity
• Ability to independently execute standard deployment work streams with
• minimal supervision
• Ability to identify physical infrastructure issues such as miswires, incorrect
• labeling, improper cable routing, rack elevation mismatches, optic issues,
• or hardware placement errors
• Strong verbal and written communication skills, including the ability to clearly
• communicate status, blockers, risks, and escalation needs
• Ability to work professionally with contractors, vendors, and cross-
• functional teams during high-cadence deployment projects
• Strong problem-solving ability and willingness to perform technical deep dives to
• resolve deployment blockers
• Ability to operate effectively in fast-moving environments with shifting
• priorities, tight timelines, and limited local supervision
• Experience with inventory management, asset tracking, remote work requests,
• and RMA processes
• The ability to travel domestically and internationally based on deployment
• needs
• Support deployment schedules that include extended onsite periods, non-
• standard hours, or project-based rotations
• Valid driver's license and comfort with driving as needed
• Ability to remain on your feet throughout the workday
• Ability to lift objects up to 50 lbs