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Salary
≈ $85k – $197k per year (Estimated)
Location
In office (London)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Jun 4, 2026. Meta scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Meta Platforms is an American technology company founded in 2004 as Facebook and renamed in 2021 to signal its investment in immersive computing. It operates the largest family of social and messaging applications in the world, comprising Facebook, Instagram, WhatsApp, Messenger and Threads, and earns almost all of its revenue from advertising sold against that audience. Headquartered in Menlo Park, California, the company also develops the open Llama language models and the Reality Labs division behind Quest headsets and Ray-Ban smart glasses.
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

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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