Data Center Technican

Job Description

Job Description:

• Perform rack, stack, and cable installation of servers, storage, networking, and GPU systems.
  
• Install rails, mount equipment, label assets, and ensure proper airflow and cable management.
  
• Connect and verify power, fiber, and copper network cabling per NVIDIA standards.
  
• Assist with hardware moves, adds, and changes (MACs) across data center floors.
  
• Follow detailed deployment runbooks and engineering documentation.
  
• Conduct basic hardware validation, LED/port checks, and physical troubleshooting.
  
• Maintain accurate asset tracking, labeling, and documentation in internal tools.
  
• Partner with Data Center Engineers and Network teams during deployments and migrations.
  
• Adhere strictly to ESD, safety, and security protocols.
  
• Support decommissioning and removal of end-of-life hardware.
  

Required Qualifications

• 3+ years of hands-on data center experience performing rack & stack.
  
• Strong understanding of:
  
• Server and network rack layouts
  
• Structured cabling (fiber & copper)
  
• Power distribution units (PDUs)
  
• Experience installing enterprise servers (Dell, HPE, Supermicro, or equivalent).
  
• Ability to read rack elevation diagrams and deployment instructions.
  
• Comfortable lifting up to 50 lbs and working in confined rack environments.
  
• Familiarity with ESD procedures and safe handling of sensitive hardware.
  
• Strong attention to detail and ability to follow precise instructions.
  

Preferred Qualifications

• Experience working in hyperscale or GPU-dense data centers.
  
• Exposure to NVIDIA platforms or high-performance computing environments.
  
• Knowledge of hot/cold aisle containment best practices.
  
• Experience supporting large-scale hardware refreshes or migrations.
  
• Basic Linux familiarity (helpful but not required).
  

Requirements
Sr. Network Automation Engineer - Hybrid on site 2 days/week Santa Clara, CA About the Role We’re seeking a hands-on Infrastructure Systems Developer who thrives in building full-stack systems with a focus on network automation. This is not your traditional network engineering role — we’re looking for someone who comes from the DevOps or systems development world and has ventured into networking by building tools, platforms, and automation frameworks that interact with network infrastructure. You will own the architecture and development of a full-stack system that ingests, stores, and acts on network telemetry and configuration data — from backend frameworks to frontend UI to device interaction and automation. Key Responsibilities Design and architect an end-to-end automation system for network configuration and telemetry. Choose and implement the right technologies: Database: SQL, NoSQL, or MDM SQL solutions. Backend: Python (FastAPI, Flask), Go, or similar. Frontend: React, Vue, or modern JS framework. Build integrations with CI/CD pipelines (e.g., Jenkins). Implement configuration management and telemetry collection using Ansible, SaltStack, or similar tools. Create APIs and services to interface with network devices. Ensure scalable data storage and retrieval for network metadata and telemetry. Collaborate with network engineers, DevOps, and security teams. Requirements Strong programming skills in Python, Go, or equivalent languages. Experience designing and building production-level infrastructure systems. Deep understanding of system architecture and software lifecycle. Familiarity with network automation concepts and tools, even if not a traditional network engineer. Hands-on experience with: CI/CD: Jenkins or equivalent. Config Management: Ansible, Salt. Database systems: SQL and NoSQL (MongoDB, PostgreSQL, etc.). Frontend frameworks: React, Vue, or similar. Comfort working across the full stack and owning the entire lifecycle of a system. Nice to Have Exposure to network protocols and device-level APIs (e.g., NETCONF, RESTCONF). Experience in telemetry collection, parsing, and visualization. Contributions to open-source DevOps or automation tools. Experience with MDM/metadata modeling.