Deployment Engineer

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.

• 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