Network Engineer, Optical Deployment

Meta Meta · Big Tech · Singapore

This role is for an Optical Deployment Engineer responsible for the deployment and support of a large-scale global optical network, with a focus on the APAC region. The engineer will be involved in implementation and scaling, adapting to technical requirements and evolving architectures. Key responsibilities include deploying, configuring, and supporting the optical network, creating design packages, generating implementation plans, collaborating with vendors, reviewing acceptance documents, providing technical expertise, planning network migrations, and working with cross-functional teams. The role also involves contributing to documentation, automation, and processes, and potentially some travel. Qualifications include a relevant Bachelor's degree or equivalent experience, hands-on experience with optical network deployment, knowledge of optical theory and transport technologies, experience with field work in various environments, and proficiency with optical test equipment. The role also requires experience integrating AI tools for workflow optimization, adhering to ethical AI practices, and ongoing AI skill development, along with coding knowledge (e.g., Python) for automation. Familiarity with network protocols and a global team environment is also expected.

What you'd actually do

  1. Deploy, configure, and support a large-scale production optical network that spans longhaul 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
  2. Create and maintain Engineering Design Packages for subsea, metro, regional and long-haul DWDM rings/systems
  3. Generate implementation plans and provide technical leadership and guidance during deployment activities
  4. Collaborate with vendors/manufacturers to evaluate new hardware/software and create optical standards for network deployment teams
  5. Review Acceptance Documents provided by vendors and subcontractors deploying equipment on our network

Skills

Required

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 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)
  • 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
  • Knowledge of coding in at least one language (i.e. Python), preferably for network or systems automation with knowledge of scripting languages
  • Knowledge of Cable Landing Station & Data Center design and operational best practices
  • Experience working in a large cross functional global team environment
  • 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

Nice to have

  • prompt/context engineering
  • agent orchestration

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