About the company
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.
Responsibilities
- 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.
Requirements
- Expert-level knowledge (CCIE/JNCIE or equivalent) in MPLS, routing, and switching for service provider and data center networks.
- Strong experience with Ethernet switching, VXLAN, and modern cloud overlay networking technologies.
- Deep expertise in routing protocols including BGP and IS-IS.
- Hands-on experience with segment routing (SR-MPLS, SRv6), L3 MPLS VPNs, and ECMP-based traffic balancing.
- Proven experience designing and documenting large-scale network architectures.
- Experience developing and executing network testing strategies and validating vendor solutions.
- Strong troubleshooting skills across the TCP/IPv4/v6 stack in CLOS-based data center environments.
- Solid understanding of network hardware architecture, QoS mechanisms, and packet processing pipelines.
- Hands-on experience with network equipment from vendors such as Juniper, Arista, Huawei, and Mellanox.
- Working proficiency in English.
Nice to have
- Working proficiency in an additional European language.
- Experience with public cloud networking and GPU/InfiniBand environments.
- Knowledge of software-defined networking (SDN) overlays in cloud environments.
- Proficiency in Python, Go, or other programming languages in Linux environments.
- Experience using programming languages for network automation and tooling.
Conditions
- Remote work within the United States.
- Work closely with globally distributed infrastructure and engineering teams.
- Participation in on-call rotations to support production environments.
- Comprehensive health insurance.
- 401(k) plan with company contribution.
- Paid time off and public holidays.
- Flexible working hours.
- Professional development and certification support.
- Compensation: $125,000 – $180,000 USD per year, depending on experience and qualifications.