Senior 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. *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="request-WEB:15eea77a-430d-424c-853f-ddcbc7d37ef3-17" data-testid="conversation-turn-8" data-scroll-anchor="true" data-turn="assistant"> 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

What we expect you to have: 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

It will be an added bonus if you 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

Working 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

Key employee benefits: 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

Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.