Network Engineer - Optical Deployment

Meta Meta · Big Tech · London, United Kingdom

Meta is seeking an Optical Deployment Engineer to deploy, configure, and support its large-scale optical network infrastructure across EMEA. The role involves delivering capacity across Optical and IP, creating design packages, collaborating with vendors, and troubleshooting network issues. While the core role is network engineering, the posting mentions integrating AI tools to optimize workflows and adhering to ethical AI practices, indicating an exploratory approach to AI within the role's context.

What you'd actually do

  1. Deploy, configure, and support a large-scale production optical network that spans ULH terrestrial, regional metro and subsea networks, interconnecting data centers and Points of Presence (POP) sites across EMEA
  2. Deliver Capacity across both Optical and IP Infrastructure to support Meta’s product portfolio.
  3. Collaborate with both internal and external partners to drive improvements across deployment velocity and quality
  4. Create and maintain engineering design packages for subsea, metro, regional, and long-haul DWDM rings/systems
  5. Generate implementation plans and provide technical leadership and guidance during deployment activities

Skills

Required

  • Demonstrated hands-on experience deploying optical networks
  • Experience with optical network design, installation and maintenance for service providers or enterprise networks
  • Experience in capacity delivery connecting Optical and IP infrastructure to deliver end to end capacity
  • Knowledge of optical theory, transport technologies and the operation of optical transport systems
  • Experience with optical test equipment and optical troubleshooting experience using C-OTDR, OTDR, OSA, BERT and optical power meters
  • Experience creating rack elevations and other planned/install/as-built documentation
  • Experience of communicating and coordinating tasks with carriers remotely
  • Experience analyzing situations, utilize systems, tools and troubleshooting to resolve technical issues
  • Effective time management and organization
  • Experience working in a global team environment

Nice to have

  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

What the JD emphasized

  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies