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 Doing
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 workstreams 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, NetBox, 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 workstreams, 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
What You’ll Add to Client
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 workstreams 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
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