Network Engineer, Deployment & Support

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 large-scale AI backbone network infrastructure. 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:

1. 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

2. Lead the technical strategy, architecture, and execution for team’s projects within Edge Network Services (ENS) on network deployment and migrations, ensuring alignment with organizational vision and goals

3. Collaborate cross-functionally across Network Engineering, Data Center, Edge, and planning teams to ensure the successful execution of shared goals on network capacity and reliability

4. Provide technical contributions (design, deployment, migrate, etc.) on large-scale, complex programs at the experienced engineer's level, demonstrating domain expertise and technical impact

5. Ensure high standards for reliability, scalability, and performance in all deliverables, driving continuous improvement in engineering processes and technical quality

6. Deploy, migrate, and support our global production network, including edge, backbone, and data center infrastructure

7. Manage key vendor relationships, including contract negotiations, pricing, and evaluation of current and potential partnerships

8. Manage partner engineering team relationships to enable the team to effectively meet business needs

9. Mentor and onboard new team members, raising the team’s overall deployment capabilities and fostering team collaboration and knowledge sharing

10. Demonstrate leadership behaviors by helping others, showing respect, connecting people, and driving collaboration within the team and the organization

11. Travel required, approximately 10% to 30%

Minimum Qualifications:

Minimum Qualifications:

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

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

3. 10+ years of Network Engineering, including hands-on responsibility for planning, building, deployment or migrating production network environments

4. Experience with leveraging AI to drive areas of efficiency for improved reliability, quality, and speed of deployments

5. In-depth experience with designing and deploying large-scale data center network infrastructure

6. Knowledge of the data center design, construction, and startup/commissioning processes

7. Experience leading cross-functional teams and driving large-scale data center projects

8. Track record of defining technical strategy and delivering measurable outcomes on complex infrastructure projects

9. Working knowledge of internet networking technologies (TCP/IP, routing, switching), and optical transport technologies

10. Knowledge of enterprise and provider-level network hardware platforms (IP and Optical)

11. Organizational, multitasking, prioritization, and communication experience

Preferred Qualifications:

Preferred Qualifications:

1. Experience in leading and/or managing technical teams

2. Data center design or relevant telecommunications certifications

3. Knowledge of network tooling and automation systems

4. Experience working on a global team in a matrixed environment with demonstrated ability to independently drive priorities and decisions

5. In-depth knowledge of network protocols (TCP/IP, BGP, IS-IS, etc.)

6. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

7. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

8. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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 [email protected].