We are seeking experienced Data Center Technicians to support large-scale AI infrastructure deployments for a leading enterprise environment. This role is ideal for candidates who have hands-on experience working in live data centers and can operate independently in fast-paced high-performance environments
Requirements
Perform rack and stack of servers storage and networking equipment
Install and manage structured cabling (fiber and copper)
Troubleshoot hardware issues (drives memory power supplies network connectivity)
Support data center deployments migrations and upgrades
Work with engineering teams to diagnose and resolve infrastructure issues
Maintain accurate documentation and asset tracking
Follow operational procedures and safety standards
Required Qualifications
28 years of hands-on data center experience
Strong experience with rack/stack and cabling
Hardware troubleshooting experience in production environments
Experience working in:
Enterprise data centers OR
Colocation facilities (Equinix Digital Realty etc.) OR
Cloud environments (AWS Azure GCP operations)
Ability to work onsite and in physically demanding environments (lifting cabling etc.)
Preferred Qualifications
Linux fundamentals (basic CLI system checks)
Exposure to networking (switches patching VLAN basics)
Experience supporting large-scale or hyperscale environments
Experience with GPU servers or high-performance computing (HPC) environments
Certifications (CompTIA A Network or similar)
What Were Looking For
Technicians who can work independently with minimal supervision
Strong problem-solving skills (not just task execution)
Attention to detail and ability to follow structured processes
Team players who can operate in fast-paced deployment environments
Required Skills:
Sr. Network Automation Engineer - Hybrid on site 2 days/week Santa Clara CA About the Role Were 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 were 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.
Required Education:
Masters preferred
We are seeking experienced Data Center Technicians to support large-scale AI infrastructure deployments for a leading enterprise environment. This role is ideal for candidates who have hands-on experience working in live data centers and can operate independently in fast-paced high-performance envir...
We are seeking experienced Data Center Technicians to support large-scale AI infrastructure deployments for a leading enterprise environment. This role is ideal for candidates who have hands-on experience working in live data centers and can operate independently in fast-paced high-performance environments
Requirements
Perform rack and stack of servers storage and networking equipment
Install and manage structured cabling (fiber and copper)
Troubleshoot hardware issues (drives memory power supplies network connectivity)
Support data center deployments migrations and upgrades
Work with engineering teams to diagnose and resolve infrastructure issues
Maintain accurate documentation and asset tracking
Follow operational procedures and safety standards
Required Qualifications
28 years of hands-on data center experience
Strong experience with rack/stack and cabling
Hardware troubleshooting experience in production environments
Experience working in:
Enterprise data centers OR
Colocation facilities (Equinix Digital Realty etc.) OR
Cloud environments (AWS Azure GCP operations)
Ability to work onsite and in physically demanding environments (lifting cabling etc.)
Preferred Qualifications
Linux fundamentals (basic CLI system checks)
Exposure to networking (switches patching VLAN basics)
Experience supporting large-scale or hyperscale environments
Experience with GPU servers or high-performance computing (HPC) environments
Certifications (CompTIA A Network or similar)
What Were Looking For
Technicians who can work independently with minimal supervision
Strong problem-solving skills (not just task execution)
Attention to detail and ability to follow structured processes
Team players who can operate in fast-paced deployment environments
Required Skills:
Sr. Network Automation Engineer - Hybrid on site 2 days/week Santa Clara CA About the Role Were 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 were 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.