Network Engineer, Deployment & Support

Meta•Seattle, WA

1d•$162,000 - $227,000

About The Position

Meta is seeking a Network Deployment & Support Engineering lead to plan and execute network deployments and migrations that build large-scale AI backbone infrastructure. The role works with optical and IP networking technologies and owns deployment planning, implementation, and scaling of Meta’s AI network infrastructure. The position leads strategic roadmaps, technical strategy, architecture, and project execution across network deployments and migrations within Edge Network Services. It collaborates with Network Engineering, Data Center, Edge, and planning teams to deliver network capacity and reliability goals, while contributing hands-on technical expertise to complex programs. The role also supports Meta’s global production network across edge, backbone, and data center infrastructure; manages vendor and partner engineering relationships; and mentors and onboards team members. Travel is required, approximately 10% to 30%.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
10+ years of Network Engineering experience, including hands-on responsibility for planning, building, deploying, or migrating production network environments.
Experience leveraging AI to improve deployment efficiency, reliability, quality, and speed.
In-depth experience designing and deploying large-scale data center network infrastructure.
Knowledge of data center design, construction, and startup or commissioning processes.
Experience leading cross-functional teams and driving large-scale data center projects.
Track record of defining technical strategy and delivering measurable outcomes on complex infrastructure projects.
Working knowledge of internet networking technologies, including TCP/IP, routing, and switching, as well as optical transport technologies.
Knowledge of enterprise and provider-level IP and optical network hardware platforms.
Organizational, multitasking, prioritization, and communication experience.

Nice To Haves

Experience leading and/or managing technical teams.
Data center design or relevant telecommunications certifications.
Knowledge of network tooling and automation systems.
Experience working on a global team in a matrixed environment and independently driving priorities and decisions.
In-depth knowledge of network protocols such as TCP/IP, BGP, and IS-IS.
Experience adhering to and implementing responsible, ethical AI practices, such as risk assessment, bias mitigation, and quality and accuracy reviews.
Ability to integrate AI tools to optimize or redesign workflows and deliver measurable impact, such as efficiency gains or quality improvements.
Ongoing AI skill development, such as prompt/context engineering and agent orchestration, and staying current with emerging AI technologies.

Responsibilities

Build and execute six-month to multi-year strategic roadmaps supporting business growth and transformation, balancing strategic vision with hands-on leadership.
Lead technical strategy, architecture, and execution for Edge Network Services network deployment and migration projects.
Collaborate with Network Engineering, Data Center, Edge, and planning teams on shared network capacity and reliability goals.
Contribute technically to the design, deployment, and migration of large-scale, complex programs.
Maintain high standards for reliability, scalability, and performance, and continuously improve engineering processes and technical quality.
Deploy, migrate, and support the global production network, including edge, backbone, and data center infrastructure.
Manage vendor relationships, including contract negotiations, pricing, and evaluation of current and potential partnerships.
Manage partner engineering team relationships to meet business needs.
Mentor and onboard team members, supporting deployment capability, collaboration, and knowledge sharing.
Help others, show respect, connect people, and drive collaboration within the team and organization.