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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
- Create and analyze network code, automate network configurations and migrations through scripting, and leverage 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
Minimum 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
- Experience analyzing technical data to inform decisions, communicating risks and trade-offs to technical and non-technical stakeholders, and collaborating across teams to deliver results in large-scale network environments
- 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
Preferred Qualifications
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Experience with process improvement and systems development, leveraging automation to streamline repetitive workflows
- Experience working in a Data Center, DC architecture and issues related to data center networks
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience building automation solutions (e.g., Python, Go) and working with network configuration management tooling
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Working knowledge of Artificial Intelligence / Machine Learning models
- Advanced degree (Master’s, PhD) in Computer Science, Engineering, or related discipline
$106,995/year to $159,000/year + bonus + equity + benefits
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