Network Engineer, Deployment & Support

Meta

Menlo Park, CA

JOB DETAILS
SKILLS
Alliance/Partner Management, Analysis Skills, Artificial Intelligence (AI), Automation, Automation System Development, Bill of Materials (BOM), Business Growth, Business Operations, Calendar Management, Capacity Management, Cloud Computing, Collocation, Computer Engineering, Computer Networks, Computer Science, Contract Negotiation, Cross-Functional, DWDM (Dense Wavelength Division Multiplexing), Data Migration, Emerging Technology, Engineering Management, Establish Priorities, Facebook, Genetics, Go Programming Language (Golang), Internet eXchanges, Machine Learning, Machine Tool, Metrics, Migration Strategy, Network Administration/Management, Network Architecture/Engineering, Network Configuration Management, Network Design, Network Operations Center, Network Performance/Analysis, Optical Engineering, Optical Networking, Optics, Package On Package, Physics, Pricing, Process Improvement, Public Cloud, Python Programming/Scripting Language, Risk Analysis, Scripting (Scripting Languages), Supplier Relationship Management (SRM), Team Lead/Manager, Team Player, Technical/Engineering Design, Testing, Transponder, Vendor/Supplier Relations, Virtual Reality, Willing to Travel
LOCATION
Menlo Park, CA
POSTED
Today

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 afraidto 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

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

• 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

Preferred Qualifications

• 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

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

Equal Employment Opportunity

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

About the Company

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Meta