Senior Network Engineer
Nebius · United States
- Senior
- Full-time
- $125,000 – $180,000
- Posted 2026-03-23
- Confirmed live on 25 September 2026
Job description
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.
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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
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Own end-to-end deployment and lifecycle management of routing and switching infrastructure across production environments
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Develop and maintain network design documentation, standards, and operational procedures
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Plan, execute, and validate network infrastructure testing, including vendor evaluation and benchmarking
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Diagnose and resolve complex network issues across the TCP/IPv4/v6 stack in large-scale distributed environments
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Optimize traffic engineering, ECMP, and load balancing strategies to ensure efficient utilization of network resources
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Implement and operate MPLS-based technologies, including L3 VPNs and segment routing (SR-MPLS, SRv6)
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Collaborate with hardware, systems, and software teams to integrate networking with compute and storage infrastructure
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Automate network operations and workflows to improve reliability, scalability, and operational efficiency
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Ensure high availability and performance of production networks through proactive monitoring and continuous improvement
What we expect you to have:
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Expert-level knowledge (CCIE/JNCIE or equivalent) in MPLS, routing, and switching for service provider and data center networks
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Strong experience with Ethernet switching, VXLAN, and modern cloud overlay networking technologies
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Deep expertise in routing protocols including BGP and IS-IS
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Hands-on experience with segment routing (SR-MPLS, SRv6), L3 MPLS VPNs, and ECMP-based traffic balancing
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Proven experience designing and documenting large-scale network architectures
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Experience developing and executing network testing strategies and validating vendor solutions
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Strong troubleshooting skills across the TCP/IPv4/v6 stack in CLOS-based data center environments
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Solid understanding of network hardware architecture, QoS mechanisms, and packet processing pipelines
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Hands-on experience with network equipment from vendors such as Juniper, Arista, Huawei, and Mellanox
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Working proficiency in English
It will be an added bonus if you have:
•
Working proficiency in an additional European language
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Experience with public cloud networking and GPU/InfiniBand environments
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Knowledge of software-defined networking (SDN) overlays in cloud environments
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Proficiency in Python, Go, or other programming languages in Linux environments
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Experience using programming languages for network automation and tooling
Working conditions:
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Remote work within the United States
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Work closely with globally distributed infrastructure and engineering teams
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Participation in on-call rotations to support production environments
Key employee benefits:
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Comprehensive health insurance
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401(k) plan with company contribution
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Paid time off and public holidays
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Flexible working hours
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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
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