Job Type: Contract
Contract Length: 6 months
Pay Range: $60 - $70/hr
Start Date: 6/1
Location: Remote - PST
About the Opportunity:
Our client, a leader in cloud infrastructure and AI technology, is looking for a skilled Infrastructure Architect - AI & Data Center to join their team for a 6 months engagement. This project involves leading the design, orchestration, and lifecycle management of their next-generation GPU Farm and AI Factory environments. This is a high-impact role that requires a self-motivated professional who can bridge the gap between R&D engineering requirements and the physical realities of global data center operations.
Key Responsibilities & Deliverables:
This role is focused on the successful completion of specific tasks and deliverables. Your responsibilities will include:
- Lead the architectural design and refinement of the GPU-as-a-Service (GPUaaS) platform for internal R&D, QA, and Sales teams.
- Design and implement a centralized Data Center Asset Inventory system, ensuring real-time visibility into all hardware assets.
- Develop a comprehensive Hardware Lifecycle Management strategy, covering procurement forecasting, operationalization, and decommissioning of legacy systems (G3/G4/G5).
- Provide architecture and designs during the project intake process, reviewing and guiding teams on the right architecture for all demands.
- Enforce strict Security Standards for Data Center HW Provisioning, ensuring all infrastructure meets SOC 2 and ISO 27001 compliance objectives.
We are looking for someone with a proven track record of successful contract engagements. The ideal candidate will have:
- 5+ years of experience in Data Center projects in an enterprise environment.
- Deep expertise in Hardware and Infrastructure Mastery:
- Deep knowledge of Cisco HW, NVIDIA GPU architectures (H100, B200, RTX 6000 Pro), and high-speed interconnects (RoCE v2, InfiniBand).
- Extensive experience with Data Center infrastructure.
- Proficiency with asset management and automation tools (Netbox, ServiceNow, Terraform, or OpenTofu).
- Experience in Data Center lifecycle management, HW capacity planning, decommissioning, and building complex financial showback models.
- Proven expertise in Kubernetes (NKP preferred) and NVIDIA AI Enterprise stacks (GPU Operator, DCGM, Triton, vLLM).
- Demonstrated ability to work autonomously and manage your own time effectively to meet project goals.
- Strong communication skills to provide clear and concise status updates to the project team.
- W2 only (No C2C or 1099 contractors)





