Network Engineer, Optical Deployment

**Summary:** 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. The ideal candidate 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. **Required Skills:** Network Engineer, Optical Deployment Responsibilities: 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 6. Provide technical expertise to network provisioning engineers for troubleshooting out-of-service or faulty circuits 7. Plan, schedule and perform complex network migrations 8. 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 9. Proactively contribute to documentation, automation and processes as they evolve 10. This role will involve some pre-planned travel from time to time **Minimum Qualifications:** Minimum Qualifications: 11. 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 12. Demonstrated hands-on experience deploying optical networks 13. Experience with optical network design, installation and maintenance for service providers or enterprise networks 14. Knowledge of optical theory, transport technologies and the operation of optical transport systems 15. Experience with field-based work on Subsea Deployments, POPs, ISP, data centers and central office environments 16. Experience with optical test equipment and optical troubleshooting experience using OTDR, OSA, BERT and optical power meters 17. Experience creating rack elevations and other planned/install/as-built documentation 18. Experience managing multiple concurrent deployment projects, including scheduling, prioritization, and documentation **Preferred Qualifications:** Preferred Qualifications: 19. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) 20. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 21. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies 22. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies 23. Knowledge of coding in at least one language (i.e. Python), preferably for network or systems automation with knowledge of scripting languages 24. Knowledge of Cable Landing Station & Data Center design and operational best practices 25. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 26. Experience working in a large cross functional global team environment 27. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) 28. 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 **Industry:** Internet