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Fluidstack · 1 month ago

Network Engineer, Deployment & Integration

New York City

Full-time

Onsite

Mid, Senior Level

$150K/yr - $250K/yr

3+ years exp

Fluidstack is building infrastructure for abundant intelligence by partnering with top AI labs and enterprises. The Network Engineer role focuses on building and validating AI datacenter network infrastructure at scale, requiring hands-on execution and collaboration with cross-functional teams.

Cloud ComputingCloud StorageGenerative AIGPUInformation TechnologyMachine LearningPrivate CloudSoftware

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

Qualification

Datacenter NetworkingNetwork TroubleshootingPhysical Layer ValidationAI Fabric ExperienceVendor Platform KnowledgeAutomation ExposureCoordination & CommunicationDocumentation & Process ImprovementOperational SupportSelf-Directed Learning

Required

Datacenter Networking Foundation: 3-7 years in network engineering with hands-on datacenter experience. You understand modern datacenter fabrics (EVPN/VXLAN, BGP, CLOS architectures) and have configured production network infrastructure. You're comfortable with CLI, configuration management, and network validation procedures

Hands-On Execution Mindset: You thrive in field environments and enjoy the satisfaction of building physical infrastructure. You're equally comfortable pulling cable, configuring switches, and troubleshooting optical layer issues. You don't need perfect tooling to get started - you execute with what's available and improve incrementally

Strong Troubleshooting Skills: Methodical approach to diagnosing network issues across physical and logical layers. You can read OTDR traces, validate insertion loss, debug BGP sessions, and trace connectivity through complex topologies. You know when to dig deeper and when to escalate

Coordination & Communication: Clear communicator who can work effectively across technical and non-technical teams. You've coordinated work with datacenter operators, vendors, and internal teams. You document your work clearly and follow through on commitments

Self-Directed Learning: You learn quickly from structured guidance and can apply that knowledge independently. You ask good questions, seek out documentation, and take ownership of ramping up on new technologies. You see gaps in your knowledge as opportunities, not barriers

Travel Ready: Comfortable with 70-80% travel to onsite deployments (weeks to months) at datacenter locations. You understand that deployment work means being wherever the infrastructure is being built

Preferred

AI Fabric Experience: Exposure to AI/ML networking environments with RDMA (RoCEv2), lossless Ethernet (PFC, ECN), or high-performance compute fabrics. You understand the precision and validation required when every packet matters

Vendor Platform Knowledge: Hands-on experience with Arista, Juniper, or NVIDIA networking platforms. Familiarity with vendor-specific troubleshooting, TAC escalation processes, and platform quirks that impact deployment

Physical Layer Expertise: 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

Automation Exposure: Basic familiarity with network automation concepts, configuration templating, or scripting (Python, Ansible). You may not write automation yourself but you understand how to design deployments that can be automated

DCIM/Asset Management: Experience with datacenter infrastructure management tools, asset tracking systems, or inventory management. Understanding of how to maintain accurate records during fast-paced deployment cycles