Deployment Technician

Cirrascale Cloud Services provides high-performance cloud infrastructure purpose-built for deep learning, generative AI, and large-scale AI inference workloads. We specialize in dedicated GPU cloud solutions tailored to the unique needs of startups, research labs, and enterprise AI teams. Our mission is to accelerate AI innovation by combining powerful hardware with white-glove service and flexible, custom-built environments.

Cirrascale Cloud Services is seeking a highly motivated and detail-oriented Deployment Technician to join our Engineering Department’s team of Deployment Technicians. In this hands‑on role, you will work independently under general direction to rack, cable, configure, and deploy high-performance servers; specifically cutting‑edge GPU clusters and bare‑metal AI infrastructure. If you thrive in autonomy, enjoy working with the latest data center hardware, have a strong foundation in Linux and networking, and take pride in seeing a system through from unboxing to live production, this is the role for you!

Expect to travel 30‑40% of the time to support deployments across our growing footprint of data centers.

Physically unbox, rack, stack, and secure high‑performance computing servers, storage arrays, and networking equipment in the data center.

Cabling & Cable Management:

Route, connect, and organize complex high‑density cabling topologies, including Cat6/fiber Ethernet and Infini Band/RoCE networks, adhering to strict data center cable management standards.

System Configuration & Provisioning:

Perform initial hardware configurations including BIOS/BMC firmware updates, RAID setup, and IPMI configuration to prepare nodes for network booting and OS deployment.

OS & Software Deployment:

Utilize internal tools and automation to deploy base operating systems (primarily Linux), install necessary drivers (especially NVIDIA GPU drivers/CUDA toolkits), and validate system readiness.

Diagnostics & Burn‑In Testing:

Execute rigorous hardware stress tests and burn‑in procedures on CPUs, memory, and GPUs to identify DoA (Dead on Arrival) components and ensure full system stability before handing off to production.

Inventory & Asset Management:

Accurately track hardware assets, serial numbers, and MAC addresses; manage RMA processes for faulty components with vendors.

Documentation:

Maintain and update internal wikis, deployment runbooks, and hardware topology diagrams to ensure accurate records of data center infrastructure.

Collaboration:

Work closely with Network Engineers, Systems Engineers, and Data Center Operations to troubleshoot deployment roadblocks and ensure seamless integration of new hardware into the Cirrascale cloud fabric.

• Minimum of 3 years of hands‑on experience in data center operations, server deployment, IT infrastructure, or a similar role.
• Ability to work independently with general direction.
• Deep understanding of enterprise server architecture, PCIe topology, and high‑density thermal dynamics.
• Proven ability to perform component‑level troubleshooting (CPUs, RAM, storage controllers, GPUs).
• Understanding of TCP/IP networking fundamentals, VLANs, and Ethernet technologies.
• Ability to independently troubleshoot physical layer and basic layer‑2/3 connectivity issues during deployment.
• Familiarity with RAID configurations, storage systems, and virtualization platforms.
• Experience working in Linux environments.
• Ability to configure network interfaces, review system logs, modify deployment scripts, and troubleshoot OS‑level boot failures.
• Ability to routinely rack heavy, high‑density AI servers while adhering to strict data center safety protocols.
• Proven ability to manage deployment projects independently with minimal supervision, paired with a meticulous approach to configuration accuracy.
• Excellent written and verbal communication skills, with the ability to clearly document configurations and translate technical issues to cross‑functional engineering teams.
• Must be willing to travel to other datacenter locations to support deployments.

• Experience with GPU‑based server environments.
• Experience with virtualization…