Network Engineer - Optical Deployment

Meta·London, England, United Kingdom·posted 46d ago · last seen 29m ago

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About interviewing at Meta

Recruiter screen, a technical screen (60-minute asynchronous challenge or paired live coding), a short culture-fit questionnaire, then a virtual onsite of about four rounds: fast-paced coding with multiple problems per round, system design scoped to level, a lighter behavioral, and an AI-enabled coding round assessing how you work with a coding assistant.

Read the full Meta interview process →

Description

About

Meta is looking for an Optical Deployment Engineer (Subsea, LH & Metro) who will be responsible for the deployment and support of one of the world’s largest and most complex networks. As a member of this team, you will have a unique opportunity to be involved in projects related to implementation & scaling of the optical network at Meta. The ideal candidate can demonstrate experience working in a fast-paced environment with a constantly evolving network. In this role, you will identify opportunities to improve existing processes, propose solutions to day-to-day operational challenges, gather constructive feedback from stakeholders, and drive improvements forward.

Responsibilities

  • 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
  • Deliver Capacity across both Optical and IP Infrastructure to support Meta’s product portfolio. Collaborate with both internal and external partners to drive improvements across deployment velocity and quality
  • As part of a global capacity delivery team, partner with other regions to align on best practices and support cross-regional projects as demands require. Create and maintain engineering design packages for subsea, metro, regional, and long-haul DWDM rings/systems
  • Generate implementation plans and provide technical leadership and guidance during deployment activities
  • Collaborate with vendors/manufacturers to evaluate new hardware and software and create optical standards for network deployment teams
  • Reviewing acceptance documents provided by vendors and subcontractors deploying equipment on our network
  • Provide technical expertise to network provisioning engineers for troubleshooting out-of-service or faulty circuits
  • Plan, schedule, and perform network maintenance, repair, and upgrade tasks as needed
  • Work closely with Network Engineering, Logistics and equipment vendors and fibre providers to ensure a seamless introduction of new optical technologies into the production network
  • Proactively contributes to documentation, automation, and processes as they evolve
  • This role will involve some pre-planned travel from time to time

Minimum Qualifications

  • 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
  • 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

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