Gimlet Media

Data Center Technician

Oklahoma City

Sponsorship not specifiedDetected 1 day ago

PythonBashLinuxLogisticsLeadership

About the role

hardware deployments, and site bring-ups across Gimlet's growing infrastructure footprint.
These roles are hands-on positions for people closest to the physical systems that power Gimlet's AI infrastructure.
Execute rack, stack, cable, labeling, hardware deployment, site expansion, and audit work for current and future Gimlet sites.

Gimlet Labs is seeking Data Center Technicians to support daily data center operations
You will rack, stack, cable, label, validate, troubleshoot, repair, document, and maintain high density compute infrastructure.
Perform break/fix work, component swaps, RMA support, hands-on testing, ticket closure, and operational maintenance.
Maintain accurate asset records, rack elevations, cabling documentation, inventory records, spares tracking, and site notes.
Support network turn-ups and validation work with Network Deployment Engineers, including optics, cabling paths, patching, and interface checks.
Gimlet Labs is seeking Data Center Technicians to support daily data center operations; hardware deployments, and site bring-ups across Gimlet's growing infrastructure footprint.

You have hands-on experience as a data center technician, IT hardware technician, lab operations technician, field service technician, or infrastructure operations technician.
You have basic Linux or command-line familiarity and are comfortable working with BMC/IPMI, firmware, BIOS, PXE, or hardware validation workflows.
Experience with GPU clusters, HPC systems, AI infrastructure, high-density compute, or large server fleet operations.
Experience with fiber handling, structured cabling, optics, transceivers, and data center network patching.

Experience using ticketing systems, asset management tools, inventory systems, DCIM tools, or CMDBs.
Scripting experience in Bash, Python, or similar tools for validation, inventory, or operational checks.

Gimlet is building the next generation of AI infrastructure: large-scale AI datacenters and the orchestration platform that coordinates them.
The future of AI will require vastly more compute than exists today. But as AI workloads become more complex and new hardware architectures emerge, simply deploying more GPUs isn't enough. The challenge is making increasingly diverse compute work together.
Gimlet's platform intelligently partitions and routes workloads across heterogeneous hardware, enabling step-function improvements in performance and efficiency. Customers deploy through production-grade APIs without needing to think about hardware selection, placement, or optimization.
We work with foundation labs, hyperscalers, and AI-native companies to power production workloads at massive scale and help define the infrastructure layer for the future of AI.
The future of AI will require vastly more compute than exists today.
But as AI workloads become more complex and new hardware architectures emerge, simply deploying more GPUs isn't enough.
The challenge is making increasingly diverse compute work together.
Gimlet's platform intelligently partitions and routes workloads across heterogeneous hardware, enabling step-function improvements in performance and efficiency.
Customers deploy through production-grade APIs without needing to think about hardware selection, placement, or optimization.
large-scale AI datacenters and the orchestration platform that coordinates them.

This listing is sourced directly from Gimlet Media's careers page and normalized into a canonical job model.