Deployment Engineer

Job Description 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 DoingDeploying Client’s AI data center infrastructure across new builds, expansions, refreshes, and high-density compute deploymentsRacking, stacking, cabling, labeling, and validating servers, PDUs, network switches, storage systems, GPU platforms, and related infrastructureInstalling and commissioning servers, switches, routers, storage systems, GPU hardware, and other infrastructure componentsIndependently executing defined deployment workstreams using runbooks, cabling plans, rack elevations, port maps, checklists, and validation workflowsValidating vendor and contractor work against Client standards for rack and stack, cabling, labeling, layout, and physical readinessRunning LLDP checks, link validation steps, internal tools, automation workflows, and scripts to confirm cabling and network readinessIdentifying and resolving common miswires, optic issues, hardware faults, communication errors, provisioning blockers, and link inconsistenciesTroubleshooting hardware, cabling, Linux OS, and network-adjacent issues during deployment activitiesCoordinating with vendors and contractors to correct build quality issues and confirm completion of assigned workSupporting DCTrack, NetBox, inventory, asset tracking, and deployment documentation updatesSubmitting RMAs, tracking remote work requests, and managing shipping, receiving, and component inventory during deployment projectsProviding clear status updates on assigned workstreams, including progress, blockers, risks, and estimated completionPartnering with Data Center Operations, Network Engineering, Infrastructure Engineering, Logistics, Facilities, Security, and vendors to support deployment readinessSupporting handoff of deployed infrastructure to steady-state operationsParticipating in lessons learned and contributing to improvements in runbooks, validation workflows, and deployment proceduresFollowing safety, security, quality, and operational standards while working in active data center environmentsWhat You’ll Add to ClientOverall 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 environmentsExperience deploying and troubleshooting GPU servers, switches, storage systems, PDUs, optics, cabling, and related data center infrastructureWorking knowledge of AI data center cabling standards, rack layouts, labeling practices, power paths, and physical deployment best practicesStrong troubleshooting skills across hardware, cabling, Linux OS, and network connectivity issuesLinux command-line experience, including working with terminal sessions, logs, and standard diagnostic commandsFamiliarity with scripting, automation workflows, or tooling used to validate hardware, cabling, and connectivityAbility to independently execute standard deployment workstreams with minimal supervisionAbility to identify physical infrastructure issues such as miswires, incorrect labeling, improper cable routing, rack elevation mismatches, optic issues, or hardware placement errorsStrong verbal and written communication skills, including the ability to clearly communicate status, blockers, risks, and escalation needsAbility to work professionally with contractors, vendors, and cross-functional teams during high-cadence deployment projectsStrong problem-solving ability and willingness to perform technical deep dives to resolve deployment blockersAbility to operate effectively in fast-moving environments with shifting priorities, tight timelines, and limited local supervisionExperience with inventory management, asset tracking, remote work requests, and RMA processesThe ability to travel domestically and internationally based on deployment needsSupport deployment schedules that include extended onsite periods, non-standard hours, or project-based rotationsValid driver’s license and comfort with driving as neededAbility to remain on your feet throughout the workdayAbility to lift objects up to 50 lbs Powered by JazzHRHaZRUXi0QJ