Network Engineer

About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

The role:

We are looking for a Senior Network Engineer to design, build, and operate large-scale, high-performance data center networks supporting GPU-dense AI workloads. You will take end-to-end ownership of service provider–grade and CLOS-based network infrastructure, ensuring reliability, scalability, and predictable performance across distributed environments. This role requires deep expertise in routing, switching, and modern data center fabrics, with a strong focus on production operations, root cause analysis, and continuous improvement of network systems.

Your responsibilities will include:

• Design and evolve scalable data center network architectures (CLOS/leaf-spine) for high-throughput, low-latency environments

• Own end-to-end deployment and lifecycle management of routing and switching infrastructure across production environments

• Develop and maintain network design documentation, standards, and operational procedures

• Plan, execute, and validate network infrastructure testing, including vendor evaluation and benchmarking

• Diagnose and resolve complex network issues across the TCP/IPv4/v6 stack in large-scale distributed environments

• Optimize traffic engineering, ECMP, and load balancing strategies to ensure efficient utilization of network resources

• Implement and operate MPLS-based technologies, including L3 VPNs and segment routing (SR-MPLS, SRv6)

• Collaborate with hardware, systems, and software teams to integrate networking with compute and storage infrastructure

• Automate network operations and workflows to improve reliability, scalability, and operational efficiency

• Ensure high availability and performance of production networks through proactive monitoring and continuous improvement