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Salary
≈ $57k – $140k per year (Estimated)
Location
In office (Singapore)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Oct 9, 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 who will be responsible for the deployment and support of a large-scale global optical network. 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. A strong candidate for this role is an engineer who can adapt to changing technical requirements and evolving network architectures. An engineer with a track record of learning new technologies, identifying process improvements, and developing practical solutions to operational challenges. As an Optical Deployment Engineer, you propose new ideas, gather constructive feedback from others, and drive those ideas through to implementation.

Responsibilities

Deploy, configure, and support a large-scale production optical network that spans long-haul terrestrial, regional metros and subsea networks, interconnecting data centers and Points of Presence (POP) sites across all regions with a primary focus on APAC region 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/software and create optical standards for network deployment teams Review 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 complex network migrations Work closely with the cross functional teams of Network Engineers, Planners, Logistics Vendors, and Fiber Providers to ensure seamless introduction of new optical technologies into the production network Proactively contribute to documentation, automation and processes as they evolve This role will involve some pre-planned travel from time to time

Qualifications

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta Demonstrated hands-on experience deploying optical networks Experience with optical network design, installation and maintenance for service providers or enterprise networks Knowledge of optical theory, transport technologies and the operation of optical transport systems Experience with field-based work on Subsea Deployments, POPs, ISP, data centers and central office environments Experience with optical test equipment and optical troubleshooting experience using OTDR, OSA, BERT and optical power meters Experience creating rack elevations and other planned/install/as-built documentation Experience managing multiple concurrent deployment projects, including scheduling, prioritization, and documentation Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Knowledge of coding in at least one language (i.e., Python), preferably for network or systems automation with knowledge of scripting languages Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience working in a large cross-functional global team environment Knowledge of cable landing stations & data center design and operational best practices Knowledge of TCP/IP protocol, network management protocol, network routing protocol (like BGP), Layer 2 concepts (e.g., STP, VLANs etc.), IPv6, and network monitoring

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