Network Engineer, Deployment & Support

Meta; Garland (TX); On-site; USD 107,000 - 159,000; Full time

Job summary

Meta is seeking an Optical Network Deployment Engineer to plan and execute deployments and migrations across a vast backbone, edge, and optical network. You will help scale Meta's AI network infrastructure with data-driven decisions and automation.

The role involves planning complex deployments, collaborating with backbone engineering, and delivering design packages (MOP, BOM, EDP) while traveling ~10% of the time. A strong background in DWDM/OTN and programmable networking is required.

Qualifications

• Bachelor's degree completed prior to joining Meta.
• 5+ years of optical network engineering, design, or deployment with 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).
• 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 and communicate risks to stakeholders; collaborating across teams.
• Willingness to travel approximately 10% of the time.

Responsibilities

• Proactively partner with backbone engineering, capacity planning, business, and operations teams to translate requirements into scalable infrastructure solutions.
• Plan, schedule, and execute complex deployments and migrations across Meta's optical backbone network (long-haul, regional metro, subsea) connecting data centers and PoP sites.
• Make independent, high-impact technical and planning decisions affecting backbone deployment and operations.
• Provide technical expertise on deployment and migration across data centers and POPs (space & power, configuration, testing, production handoff).
• Collaborate on strategic road mapping and initiatives to prioritize scalable, efficient, and reliable migrations aligned with business goals.
• Contribute to Optical Transport Network (OTN) deployment/migration strategies across data centers, backbone, edge, and cloud platforms.
• Create and analyze network code, automate configurations and migrations through scripting, and leverage AI to enhance operations.
• Develop implementation plans including MOP, BOM, and Engineering Design Packages (EDP).
• Maintain standards for builds and design packages for metro, regional and long-haul DWDM rings/systems.
• Represent the team in large-scale program initiatives; drive alignment and execution across teams and stakeholders.
• Manage partner engineering relationships to enable meeting business needs and negotiate contracts with vendors.
• Drive alignment on workflow tooling requirements and automation roadmaps.
• Use data-driven approaches to influence business and network health metrics.

Education

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Master’s or PhD in Computer Science, Engineering, or related discipline

Tools

DWDM

ROADM

OTN (G.709)

Coherent optics (400G/800G)

Ciena

Nokia

Infinera

Python

Go

Job description

Meta is looking for an Optical Network Deployment Engineer 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 will propose new ideas, gather constructive feedback from others, and drive these ideas to implementation.

Network Engineer, Deployment & Support 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 workflowsExperience 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

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.

Meta is proud to be an Equal Employment Opportunity and Affiantive Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].

$106,995/year to $159,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.