Meta is looking for an Optical Network Deployment Engineering to join a team responsible for planning and executing network deployments and migrations across one of the world's largest and most complex backbone, edge, and optical networks. As a member of this team, you will have a unique opportunity to work on projects related to the planning, implementation, and scaling of Meta's AI network infrastructure. This team is responsible for planning and executing network migrations for one of the world's largest AI backbone and edge networks. As a Network Deployment Engineer, you are not afraid to propose new ideas, gather constructive feedback from others, and push forward to make these ideas a reality.
Responsibilities
Proactively partner with backbone engineering, capacity planning, business, and operations teams to synthesize complex cross-functional requirements into scalable infrastructure solutions Plan, schedule, and execute complex deployments and migrations across Meta's optical backbone network, including long-haul terrestrial, regional metro, and subsea segments connecting data centers and PoP sites Make independent, high-impact technical and planning decisions affecting backbone network deployment and operations Provide technical expertise on network deployment and migration across data centers and POPs, spanning space & power, configuration, testing, and production handoff Collaborate on strategic road mapping and organizational initiatives to prioritize scalable, efficient, and reliable network migrations aligned with business goals Contribute to Optical Transport Network (OTN) deployment/migration strategies of network architecture spanning data centers, backbone, edge, and cloud platforms Experience in creating and analyzing network code, automating network configurations and migrations through scripting, and leveraging AI to enhance network operations Work cross-functionally to generate implementation plans including Method of Procedure (MOP), Bill of Materials (BOM), and Engineering Design Packages (EDP) Maintain standards for all builds and design packages for metro, regional and long-haul DWDM rings/systems Serve as a representative in large-scale program initiatives, driving alignment and execution across teams and stakeholders Manage partner engineering team relationships to enable the team(s) to effectively meet business needs Manage key vendor relationships including contract negotiations, pricing, and evaluation of current and potential partnerships Drive alignment on workflow management tooling requirements, focusing on efficiency and automation roadmaps Leverage a data driven approach to influence business and network health metrics
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 5+ years of experience in optical network engineering, design, or deployment with expertise in DWDM, ROADM, OTN (G.709), and coherent optics (400G/800G) Experience with optical line systems and transponder platforms (e.g., Ciena, Nokia, Infinera, or equivalent) Demonstrated expertise in architecting and deploying complex network solutions across data centers, backbone, edge, and public cloud environments Experience with field-based work in 3rd Party Network Collocation Facilities, Internet Exchanges, Data Center, Central Offices, etc Track record of defining and executing successful network strategies with measurable, organization-wide impact Analytical, communication, and collaboration skills as well as proven ability to deliver results in large-scale contexts Experience in communicating risks and action plans to stakeholders as well as building relationships and collaboration within a cross-functional team and business leaders Willingness to travel approximately 10% of the time Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies 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) Advanced degree (Master’s, PhD) in Computer Science, Engineering, or related discipline High proficiency in automation (Python, Go, etc.) and network configuration management tooling Experience with process improvement and systems development, leveraging automation to streamline repetitive workflows Working knowledge of Artificial Intelligence / Machine Learning models Experience working in a Data Center, DC architecture and issues related to data center networks