Skills

Artificial Intelligence (AI)unmatched

Asset Managementunmatched

Best Practicesunmatched

Cadenceunmatched

Cloud Computingunmatched

Command Lineunmatched

Commissioningunmatched

Communication Skillsunmatched

Cross-Functionalunmatched

Documentationunmatched

Driver's Licenseunmatched

GPU (Graphics Processing Unit)unmatched

Hardware Installationunmatched

Identify Issuesunmatched

Inventory Managementunmatched

Lift/Move 50 Poundsunmatched

Linux Operating Systemunmatched

Logisticsunmatched

Machine Toolunmatched

Network Architecture/Engineeringunmatched

Network Connectivityunmatched

Network Operations Centerunmatched

Network Routersunmatched

Network Switchingunmatched

On Site Supportunmatched

Operational Supportunmatched

Opticsunmatched

Presentation/Verbal Skillsunmatched

Problem Solving Skillsunmatched

RMONunmatched

Safety/Work Safetyunmatched

Scripting (Scripting Languages)unmatched

Shipping/Receivingunmatched

Team Playerunmatched

Technical Operationsunmatched

Validation Testingunmatched

Willing to Travelunmatched

Work From Homeunmatched

Writing Skillsunmatched

Description

Indent: SF_OP_202213-10-1 / SF_OP_202213-11-1
Role: AI Data Centre Deployment Engineers
Location: Memphis TN
1^st Preference : FTE – Max Salary: $95-100K/annum
2^nd Preference : Contract – Max Rate: $60/hr

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

Similar Jobs

AWS DevOps Engineer Stefanini
San Francisco, CA7 days ago
Remote
- $100–$106 Per Hour
- Temporary
- Contractor
DevOps Consultant and Network Engineer Zensar Technologies
Palo Alto, CA7 days ago
- $120,000–$150,000 Per Year
- Contractor
- Full-time
- Employee
DevOps Platform Development Engineer (Bilingual Mandarin) Comrise
Palo Alto, CA16 days ago
- $150,000–$240,000 Per Year
- Full-time
- Employee
Network DevOps Engineer Epitec Staffing
Palo Alto, CA7 days ago
New!
Senior AWS DevOps Engineer Jobot
Milpitas, CA2 days ago
- $155,000–$165,000 Per Year
New!
Senior Forward Deployed Engineer (DevOps/SRE) Jobot
Pleasanton, CA2 days ago
- $300,000–$350,000 Per Year