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Senior Network Engineer (Amsterdam)

Together AI · Amsterdam

CHECKED 3H AGO

Infrastructureonsitesenior
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At a glance

Highlights

  • Design and operate global networks powering production AI services.
  • Support high-performance AI compute and GPU cluster infrastructure.
  • Own complex issues end-to-end across network and application layers.

Ideal candidate

A deeply experienced network owner who thrives on complex, large-scale systems and evidence-based troubleshooting. You enjoy owning problems end-to-end and collaborating across teams to keep AI platforms reliable.

Requirements

  • 8+ years designing, building, and supporting large-scale production data center, cloud, service-provider, or HPC networks
  • Deep understanding of TCP/IP with BGP, OSPF, VXLAN, EVPN, ECMP, and QoS
  • Experience designing multi-tenant networks using VRFs, VLANs, overlays, and policy-based segmentation
  • Hands-on deployment and troubleshooting of Arista, Cisco, Juniper, and NVIDIA platforms
  • Strong troubleshooting with Wireshark, tcpdump, MTR, curl, nmap, and Linux networking utilities
  • Experience with network automation using Python, Ansible, or similar plus Git-based SDLC
  • Working knowledge of Kubernetes networking including pods, services, and CNIs
  • Hands-on experience deploying or operating RoCE and/or InfiniBand fabrics
  • Experience supporting GPU clusters, HPC, distributed storage, or high-bandwidth latency-sensitive workloads
  • Understanding of AI training and inference traffic patterns and infrastructure demands
  • Experience operating networks spanning thousands of devices and multiple regions
  • Experience with cloud networking in AWS, GCP, or Azure and strong Linux administration

Lab profile

About Together AI

AI-native cloud for training and inference on large-scale GPU infrastructure for AI apps and agents.

What they build

  • AI-native cloud platform
  • GPU clusters for training and inference
  • Platform for AI applications and agents

Known for

  • Operating large-scale GPU fleets
  • Automated infrastructure at massive scale
  • Multi-site data center deployment

Key facts

  • Over 1M developers
  • Operates one of the world's largest GPU fleets
  • Infrastructure managing tens of thousands of GPUs
More about Together AI →
Apply on the lab’s site ↗