Senior Network Engineer (Amsterdam)
Together AI · Amsterdam
CHECKED 3H AGO
Infrastructureonsitesenior
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