AI Data Center With Deployment

• Role: AI Data Center With Deployment
• Location: Remote
• Hire Type: Contract/Full Time

• Deployment Engineers play a critical role in building and scaling the physical infrastructure that powers AI cloud platform. Deployment team is responsible for supporting new AI data center builds, infrastructure expansions, hardware deployments, cabling validation, and site readiness activities that enable client to grow quickly and reliably
• .From deploying hardware to validating cabling, troubleshooting link issues, coordinating vendor work, and supporting operational readiness, our engineers work across the full deployment lifecycle. You’ll join a collaborative, fast-moving team with opportunities to support large-scale deployments, new AI data center expansions, and next-generation infrastructure
• .This role requires significant onsite deployment support and requires very high levels of domestic and international travel based on project needs
• .
• What You’ll Be Doin
• gDeploying Client’s AI data center infrastructure across new builds, expansions, refreshes, and high-density compute deployment
• sRacking, stacking, cabling, labeling, and validating servers, PDUs, network switches, storage systems, GPU platforms, and related infrastructur
• eInstalling and commissioning servers, switches, routers, storage systems, GPU hardware, and other infrastructure component
• sIndependently executing defined deployment workstreams using runbooks, cabling plans, rack elevations, port maps, checklists, and validation workflow
• sValidating vendor and contractor work against Client standards for rack and stack, cabling, labeling, layout, and physical readines
• sRunning LLDP checks, link validation steps, internal tools, automation workflows, and scripts to confirm cabling and network readines
• sIdentifying and resolving common miswires, optic issues, hardware faults, communication errors, provisioning blockers, and link inconsistencie
• sTroubleshooting hardware, cabling, Linux OS, and network-adjacent issues during deployment activitie
• sCoordinating with vendors and contractors to correct build quality issues and confirm completion of assigned wor
• kSupporting DCTrack, NetBox, inventory, asset tracking, and deployment documentation update
• sSubmitting RMAs, tracking remote work requests, and managing shipping, receiving, and component inventory during deployment project
• sProviding clear status updates on assigned workstreams, including progress, blockers, risks, and estimated completio
• nPartnering with Data Center Operations, Network Engineering, Infrastructure Engineering, Logistics, Facilities, Security, and vendors to support deployment readines
• sSupporting handoff of deployed infrastructure to steady-state operation
• sParticipating in lessons learned and contributing to improvements in runbooks, validation workflows, and deployment procedure
• sFollowing safety, security, quality, and operational standards while working in active data center environment
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• What You’ll Add to Clien
• tOverall 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 environment
• sExperience deploying and troubleshooting GPU servers, switches, storage systems, PDUs, optics, cabling, and related data center infrastructur
• eWorking knowledge of AI data center cabling standards, rack layouts, labeling practices, power paths, and physical deployment best practice
• sStrong troubleshooting skills across hardware, cabling, Linux OS, and network connectivity issue
• sLinux command-line experience, including working with terminal sessions, logs, and standard diagnostic command
• sFamiliarity with scripting, automation workflows, or tooling used to validate hardware, cabling, and connectivit
• yAbility to independently execute standard deployment workstreams with minimal supervisio
• nAbility to identify physical infrastructure issues such as miswires, incorrect labeling, improper cable routing, rack elevation mismatches, optic issues, or hardware placement error
• sStrong verbal and written communication skills, including the ability to clearly communicate status, blockers, risks, and escalation need
• sAbility to work professionally with contractors, vendors, and cross-functional teams during high-cadence deployment project
• sStrong problem-solving ability and willingness to perform technical deep dives to resolve deployment blocker
• sAbility to operate effectively in fast-moving environments with shifting priorities, tight timelines, and limited local supervisio
• nExperience with inventory management, asset tracking, remote work requests, and RMA processe
• sThe ability to travel domestically and internationally based on deployment need
• sSupport deployment schedules that include extended onsite periods, non-standard hours, or project-based rotation
• sValid driver’s license and comfort with driving as neede
• dAbility to remain on your feet throughout the workda
• yAbility to lift objects up to 50 lb

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