Network Engineer, Deployment & Integration

Fluidstack is building the infrastructure for abundant intelligence and seeks a Network Engineer to join their Deployment & Integration team. The role focuses on building and validating AI datacenter network infrastructure at scale, including configuring switches and ensuring production-ready handovers to operations.

Responsibilities:

• Deploy and validate datacenter network infrastructure including front-end fabric, back-end fabric, BMS, and management networks
• Configure switches, install and validate optics, coordinate fiber/cabling work, and drive deployments through completion
• Own the hands-on work that turns designs into production networks
• Ensure physical connectivity meets production standards
• Coordinate with structured cabling teams on fiber remediation, validate insertion loss and OTDR traces, troubleshoot optical layer issues, and document physical infrastructure as-builts
• Manage hardware logistics including device staging, rack/stack coordination, RMA processes, and DCIM updates
• Track hardware inventory, coordinate vendor shipments, and ensure devices are ready when deployments need them
• Partner with DC Operations (rack/stack, power, cabling), ICT teams (fiber validation), Hardware teams (logistics), and Network Engineering (config validation) to drive deployments forward
• Maintain accurate documentation of deployment activities including cutsheets, as-builts, validation results, and lessons learned
• Identify gaps in deployment procedures and propose improvements
• Contribute to the deployment playbook that enables the team to scale
• Provide backup operational support during and after deployments
• Respond to incidents, execute troubleshooting procedures, and coordinate break-fix activities
• Build the operational knowledge that makes you effective beyond just deployment execution

Requirements:

• 3-7 years in network engineering with hands-on datacenter experience
• Understanding of modern datacenter fabrics (EVPN/VXLAN, BGP, CLOS architectures)
• Configured production network infrastructure
• Comfortable with CLI, configuration management, and network validation procedures
• Thrives in field environments and enjoys the satisfaction of building physical infrastructure
• Comfortable pulling cable, configuring switches, and troubleshooting optical layer issues
• Methodical approach to diagnosing network issues across physical and logical layers
• Ability to read OTDR traces, validate insertion loss, debug BGP sessions, and trace connectivity through complex topologies
• Clear communicator who can work effectively across technical and non-technical teams
• Experience coordinating work with datacenter operators, vendors, and internal teams
• Ability to document work clearly and follow through on commitments
• Learns quickly from structured guidance and can apply that knowledge independently
• Asks good questions, seeks out documentation, and takes ownership of ramping up on new technologies
• Comfortable with 70-80% travel to onsite deployments (weeks to months) at datacenter locations
• Exposure to AI/ML networking environments with RDMA (RoCEv2), lossless Ethernet (PFC, ECN), or high-performance compute fabrics
• Hands-on experience with Arista, Juniper, or NVIDIA networking platforms
• Strong understanding of structured cabling standards, fiber optics (SMF/MMF), insertion loss budgets, and optical validation tools
• Experience working with structured cabling vendors and ICT teams
• Basic familiarity with network automation concepts, configuration templating, or scripting (Python, Ansible)
• Experience with datacenter infrastructure management tools, asset tracking systems, or inventory management