DWDM-IP Engineer

Reposted 21 Hours Ago
Hiring Remotely in United States
Remote
125K-180K Annually
Mid level
Artificial Intelligence • Information Technology • Consulting
The Role
The Optical & IP Transport Engineer designs, deploys, and operates DWDM-based transport networks, troubleshoots issues, and develops automation for network operations.
Summary Generated by Built In

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 an Optical & IP Transport Engineer (DWDM/IP) to own the design, deployment, and operation of large-scale optical transport networks supporting high-density, latency-sensitive infrastructure. You will work at the intersection of DWDM systems and IP/MPLS layers, ensuring reliable packet delivery across long-haul and metro fiber networks.

This role requires deep understanding of optical physics and packet transport, with hands-on responsibility for production networks. You will be involved in end-to-end lifecycle management—from planning and turn-up to troubleshooting complex cross-layer issues impacting performance and availability. The position demands strong diagnostic capabilities, automation-driven operations, and the ability to operate close to the hardware in mission-critical environments.

Your responsibilities will include:

  • Design, deploy, and operate DWDM-based transport networks across long-haul and metro environments

  • Perform wavelength provisioning, optical power tuning, and amplification design (EDFA/Raman) to ensure optimal link performance

  • Troubleshoot cross-layer issues spanning optical transport and IP/MPLS networks, including packet loss, latency, and signal degradation

  • Execute fiber characterization and fault isolation using OTDR, OSA, and BERT tools across various span distances

  • Work directly with production platforms (Ciena, Infinera, ADVA) for provisioning, upgrades, and incident resolution

  • Develop and maintain Python-based automation for optical health checks, telemetry ingestion, and inventory synchronization

  • Participate in network expansions and hardware deployments, including on-site support for critical rollouts and audits

  • Collaborate with IP engineering teams to ensure alignment between optical transport and routing layers

  • Drive root cause analysis and implement preventive measures to improve fleet-wide reliability and performance

What we expect you to have:

  • Strong expertise in DWDM systems, including wavelength routing, optical amplification (EDFA/Raman), and dispersion management in long-haul networks

  • Solid understanding of IP/MPLS fundamentals, including routing protocols such as BGP, OSPF, or IS-IS, and MPLS signaling

  • Hands-on experience with production optical platforms such as Ciena (6500/Waveserver), Infinera, or ADVA

  • Proficiency in Python for automation of operational workflows and network validation tasks

  • Experience using optical diagnostic tools (OTDR, OSA, BERT) for fiber analysis and troubleshooting

  • Ability to debug packet-over-optical issues across layers with precision and speed

  • Willingness to travel to data center and network sites across the US/EU for deployments and audits

It will be an added bonus if you have:

  • Experience with Linux-based network management systems and streaming telemetry for optical monitoring

  • Background in network modernization projects, including migrations from 100G to 400G/800G architectures

  • Familiarity with Segment Routing (SR-MPLS or SRv6) and its interaction with optical transport performance

Working conditions:

  • Remote role based in the United States

  • Travel required for on-site deployments and physical-layer audits

Key employee benefits:

  • Comprehensive health insurance (medical, dental, vision)

  • 401(k) plan with company contribution

  • Generous paid time off and sick leave

  • Paid parental leave

  • Flexible working hours

  • Professional development support

Compensation:

  • Base salary: $125,000 – $180,000 per year

  • Performance-based bonus included

Benefits & Perks:

  • Competitive compensation
  • Career growth and learning opportunities
  • Flexibility and work-life balance
  • 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.

Skills Required

  • Strong expertise in DWDM systems
  • Solid understanding of IP/MPLS fundamentals
  • Hands-on experience with Ciena, Infinera, or ADVA platforms
  • Proficiency in Python for automation
  • Experience using optical diagnostic tools
  • Willingness to travel for on-site deployments
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The Company
473 Employees

What We Do

Cloud platform specifically designed to train AI models

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