Network Engineer,Deployment & Support Job Reston area,Virginia USA,IT/Tech

Summary

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.

Required

Skills

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

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

Public Compensation

$162,000/year to $227,000/year + bonus + equity + benefits

Industry

Internet

Equal Opportunity

Meta is proud to be an Equal Employment Opportunity and affirmative 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

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