Network Engineer, Deployment & Support

Meta; United States; On-site; USD 162,000 - 227,000; Full time

Job summary

Meta is seeking a Network Deployment & Support Engineering lead to oversee deployment planning and migrations for its AI backbone network. You will own the end-to-end execution of edge, backbone, and data center infrastructure, shaping technical strategy and delivery for large-scale programs.

This role blends hands-on engineering leadership with cross-functional collaboration, vendor management, and mentoring. Expect 10–30% travel, competitive compensation, and equity as part of Meta's package.

Qualifications

• 10+ years of network engineering experience including hands-on deployment or migration of production networks.
• Experience with enterprise and carrier class routing, switching, and optical transport platforms.
• Bachelor's degree in CS/CE or equivalent practical experience.

Responsibilities

• Lead the technical strategy, architecture, and execution for your team’s projects within Edge Network Services (ENS) on network deployments.
• Provide hands-on technical contributions (design, deployment, migration, code reviews, troubleshooting) on large-scale programs.
• Drive six-month to multi-year roadmaps that align with business growth and transformation.
• Ensure reliability, scalability, and performance in all deliverables and drive process improvements.
• Collaborate cross-functionally to ensure successful execution of network capacity and reliability goals.
• Deploy, migrate, and support global production network including edge, backbone, and data center infrastructure.

Skills

Network engineering

Leadership

Vendor management

Scripting

Data center/edge networks

Education

Bachelor's degree in Computer Science or related field

Tools

Routing & Switching

Optical transport platforms

Network automation scripting

Job description

Meta is looking for a Network Deployment & Support Engineering lead to join the team responsible for planning and executing network deployments and migrations to build the world's largest AI backbone network. In this role, you will have a unique opportunity to work on cutting-edge Optical and IP networking technologies owning the deployment planning, implementation, and scaling of Meta's AI network infrastructure.

Network Engineer, Deployment & Support Responsibilities:

• Lead the technical strategy, architecture, and execution for your team’s projects within Edge Network Services (ENS) on network deployments, ensuring alignment with organizational vision and goals
• Provide hands‑on technical contributions (design, deployment, migration, code reviews, troubleshooting, etc.) on large scale complex programs at the experienced engineer level, demonstrating domain expertise and technical impact
• Drive strategic planning by building and executing six-month to multi-year roadmaps that support business growth and transformation. Balance high‑level strategic vision with hands‑on leadership to deliver results across a broad portfolio of initiatives
• Ensure high standards for reliability, scalability, and performance in all deliverables, driving continuous improvement in engineering processes and technical quality
• Collaborate cross‑functionally across Network Engineering, Data Center, Edge, and Planning teams to ensure successful execution of shared goals on Network Capacity and Reliability
• Deploy, migrate and support our global production network including edge, backbone, and data center infrastructure
• Manage key vendor relationships including contract negotiations, pricing, and evaluation of current and potential partnerships
• Manage partner engineering team relationships to enable the team(s) to effectively meet business needs
• Mentor and onboard new team members, raising the team’s overall technical acumen and building internal community
• Demonstrate leadership behaviors by helping others, showing respect, connecting people, and driving collaboration within the team and organization
• 10% to 30% of travel

Minimum Qualifications:

• 10+ years of Network Engineering, including hands‑on responsibility for planning, building, deployment or migrating production network environments
• Hands‑on experience with enterprise and carrier class routing, switching, and optical transport platforms
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Bachelor’s degree in computer science, Computer Engineering, relevant technical field, or equivalent practical experience
• Experience interacting with vendors and external parties to drive projects to completion
• Knowledge of data center design and operational best practices
• Experience leading and executing network deployment and migration projects

Preferred Qualifications:

• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Knowledge of various scripting languages
• Experience with process improvement and systems development, leveraging automation to streamline repetitive workflows
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Network certifications such as CCE, CCIE, or JNCIE
• Experience in data center, edge, or large-scale network environments

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.

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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].

$162,000/year to $227,000/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.