DWDM-IP Engineer
Job Summary
We are looking for a Optical Network/DWDM-IP Engineer to own the lifecycle of our optical transport network and its integration with the IP/MPLS core. You will be responsible for operating a hybrid ecosystem of short-haul (DC interconnects), metro, and long-haul DWDM systems. This role requires a "Full-Stack Transport" mindset—where you understand the physics of the fiber, signal modulation and could overview the logic of the ip/MPLS part of network.
Job Responsibilities:
Hybrid Infrastructure Management: Configure, deploy, and scale multi-vendor DWDM systems (Ciena, Nokia-Infinera, ADVA/Adtran) to support 400G/800G+ coherent interfaces.
Operational Excellence: Lead the troubleshooting of complex optical-to-IP failures, ensuring minimal MTTR for critical backbone spans and DCI links.
Network Evolution: Design and test new optical solutions, focusing on Open Line Systems (OLS), disaggregated hardware, and pluggable coherent optics (QSFP-DD/OSFP).
Automation & Data Integrity: Build and maintain the "Source of Truth" (Netbox-based) for lambdas, channels, and dark fiber assets; participating in automate commissioning via Python/gNMI.
Strategic Collaboration: Work with Data Center Ops and IP Engineering to align optical capacity with traffic engineering (SR-MPLS) demands.
Vendor & Asset Management: Manage relationships with dark fiber providers and channel suppliers; monitor performance against SLAs.
We Expect You To:
Deep Optical Expertise: Knowledge of ROADM networks and use-cases, optical amplification (EDFA/Raman), understand Coherent modulation formats and its characteristics in multi span long-haul scenarios.
IP/MPLS Proficiency: Have an understanding of the IP/MPLS stack (any from BGP/OSPF/IS-IS) to perform initial debugs on packet-over-optical issues.
Hands-on with Production Platforms: Direct experience with ADVA/Adtran platforms or Ciena /Nokia-Infinera
Automation Mindset: good to read Python for automating routine of inventory synch
Diagnostic Precision: Expert use of OTDR, OSA, and BERT equipment for characterization of short, middle, and long-haul fiber spans.
Mobility: Willingness to travel to key sites in the USA/EU/APAC for critical hardware deployments and complex physical-layer audits.
Preferred Qualifications:
Good in Linux-based network tools and telemetry for optical monitoring.
Proven track record in network modernization projects (e.g., migrating from 100G to 400G/800G architectures).
Nice to have Experience with MPLS and its interaction with optical layer performance metrics.
About Nebius
Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training.
Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023).
Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East.
Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. 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!