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NebiusNE

Senior Network Engineer

Nebius is a cutting-edge AI cloud platform that offers scalable infrastructure for developing and deploying AI solutions.

Nebius

Employee count: 201-500

Salary: 125k-180k USD

United States only

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Why work at NebiusNebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.

Where we workHeadquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.

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

What we offer

  • Competitive salary and comprehensive benefits package.
  • Opportunities for professional growth within Nebius.
  • Flexible working arrangements.
  • A dynamic and collaborative work environment that values initiative and innovation.

We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

About the job

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Posted on

Job type

Full Time

Experience level

Senior

Salary

Salary: 125k-180k USD

Location requirements

Hiring timezones

United States +/- 0 hours

About Nebius

Learn more about Nebius and their company culture.

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At Nebius, we offer an advanced AI cloud platform designed for those who wish to develop, tune, and deploy their AI models with the most efficient infrastructure available. Our platform utilizes cutting-edge NVIDIA GPU clusters, including the H100 and H200, optimized for maximum performance with InfiniBand. One of the standout features of Nebius is our comprehensive fine-tuning ecosystem that includes on-demand GPUs and tools necessary for robust dataset processing, ensuring that AI teams can efficiently manage their computational resources according to demand.

We recognize the importance of AI inference in deploying real-world applications. Hence, we provide a resilient and cost-effective infrastructure that has been optimized for rapid deployment of Generative AI applications. Our services span the entire lifecycle of AI solutions, from model training to inference, making Nebius not just a GPU cloud but a full-stack AI platform. Additionally, we pride ourselves on supporting our clients with 24/7 expert guidance, offering resources to help architects and engineers harness our AI-optimized data centers to build scalable solutions.

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Nebius

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