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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Data Center Infrastructure Deployment Specialist - **Company:** INDUS - **Location:** Germantown, TN, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Centers, Linux, Linux Commands, Network Connections, Runbook, Software Deployment, Network Routers, Scripting, Graphics Processing Unit (GPU), Computer Networking Systems, Cloud Platform System, High Performance Computing, Data Center Networking, Hardware Infrastructure, Network Server, Workday - **Published:** September 4, 2026 - **Apply:** https://www.disabledperson.com/jobs/74808857-ai-data-center-infrastructure-deployment-specialist ## About the Role * 5+ years of overall experience in infrastructure deployment, operations, or technical support. * 2+ years of hands-on experience deploying, operating, or supporting infrastructure in AI data centers, GPU/HPC environments, cloud environments, labs, networking, or technical operations. * Hands-on experience deploying and troubleshooting GPU servers, switches, storage systems, PDUs, optics, cabling, and related data center infrastructure. * Strong understanding 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. * Strong Linux command-line experience, including terminal sessions, logs, and standard diagnostic commands. * Familiarity with scripting, automation workflows, or tools 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 deviations, incorrect labeling, improper cable routing, rack elevation mismatches, optic issues, and hardware placement errors. * Experience with inventory management, asset tracking, and RMA processes. * Strong verbal and written communication skills. Preferred Skills * Experience supporting large-scale AI/GPU data center deployments. * Experience with GPU/HPC infrastructure and high-density rack environments. * Knowledge of data center networking, optics, structured cabling, and connectivity validation. * Experience working with contractors, vendors, and cross-functional engineering teams. * Familiarity with deployment runbooks, rack maps, checklists, and infrastructure validation processes. * Experience with automation and scripting for infrastructure validation and troubleshooting. Additional Requirements * Ability to work onsite in Memphis, TN. * Willingness and ability to travel domestically and internationally as required by project needs. * Ability to work standard hours and support project-based rotations when required. * Valid driver's license and ability to drive as needed. * Ability to remain on your feet throughout the workday in an active data center environment. * Ability to lift and handle objects weighing up to 50 lbs. * Ability to work in a fast-moving environment with shifting priorities, tight timelines, and limited local support. Core Competencies * Data Center Infrastructure Deployment * AI / GPU / HPC Infrastructure * Server & Hardware Deployment * Network & Structured Cabling * Linux Troubleshooting * Rack & Physical Infrastructure * Hardware & Connectivity Troubleshooting * RMA & Inventory Management * Deployment Validation * Runbooks & Operational Procedures * Cross-Functional Collaboration * Contractor/Vendor Coordination * Safety & Quality Compliance ## Description We are seeking an experienced Data Center Infrastructure Deployment Specialist to support the deployment, validation, troubleshooting, and operational readiness of physical infrastructure supporting large-scale AI data center environments. The ideal candidate will have hands-on experience with GPU/HPC infrastructure, servers, networking, cabling, storage, Linux, rack deployments, and data center operations. This role requires a highly hands-on, operationally focused professional who can work effectively in fast-moving deployment environments, troubleshoot infrastructure issues, coordinate with multiple teams, and ensure deployments meet quality, safety, and operational standards. What You'll Be Doing * Join a team responsible for building and scaling the physical infrastructure supporting new AI data center deployments. * Support operational readiness for new AI data center builds, expansions, and deployment projects. * Deploy physical infrastructure across new builds, expansions, and future deployments. * Install, inspect, validate, and troubleshoot servers, PDUs, network platforms, and related infrastructure. * Work with racks, switches, routers, storage systems, GPU components, and other data center hardware. * Execute deployment workstreams using established runbooks, rack maps, checklists, and validation workflows. * Work against client standards for rack and physical infrastructure readiness. * Follow deployment procedures, internal tools, and automation workflows to ensure network and infrastructure readiness. * Troubleshoot optic issues, hardware faults, cabling problems, deployment blockers, and link inconsistencies. * Troubleshoot Linux OS and network-adjacent issues during infrastructure deployment. * Work with contractors and internal teams to identify and correct build-quality issues and deployment problems. * Provide deployment support and respond to high levels of operational demand based on project requirements. Responsibilities * Submit RMAs, track remote work requests, and manage shipping, receiving, and component inventory during deployment projects. * Provide clear status updates on assigned workstreams, including progress, blockers, risks, and estimated completion. * Partner with Data Center Operations, Network Engineering, Infrastructure Engineering, Logistics, Facilities, Security, and external vendors to support deployment readiness. * Support the handoff of deployed infrastructure into steady-state operations. * Participate in lessons-learned activities and contribute to improvements in runbooks, validation workflows, and deployment procedures. * Follow all safety, security, quality, and operational standards while working in active data center environments. * Independently execute standard deployment workstreams while maintaining high-quality standards. * Identify and resolve physical infrastructure issues, including incorrect labeling, improper cable routing, rack elevation mismatches, optic issues, and hardware placement errors. * Coordinate with contractors to correct deployment and build-quality issues. * Support project schedules, operational priorities, and deployment milestones in a fast-paced environment. ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Destigmatizing the Workplace: Building Real Inclusion](https://www.wearedevelopers.com/videos/1492-destigmatizing-the-workplace-building-real-inclusion) - [Technical Documentation - How Can I Write Them Better and Why Should I Care?](https://www.wearedevelopers.com/videos/681-technical-documentation-how-can-i-write-them-better-and-why-should-i-care) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [AI Factories at Scale](https://www.wearedevelopers.com/videos/1139-ai-factories-at-scale) ## Related Articles - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Got AI ideas but no money? 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