Network Engineer, Deployment & Support

Meta; Providence (RI); On-site; USD 162,000 - 227,000; Full time

Job summary

Meta is seeking a Network Deployment & Support Engineering lead to plan and execute deployments and migrations for Meta's AI network infrastructure. You will own deployment planning, implementation, and scaling across edge, backbone, and data center environments.

Responsibilities include strategic planning, hands-on contribution, and cross-functional collaboration to ensure reliability, performance, and growth. Travel up to 30% and partnerships with vendors are involved.

Qualifications

• 10+ years of Network Engineering experience with hands-on deployment and migration.
• Experience with enterprise and carrier-class routing, switching, and optical transport.
• Bachelor’s degree in Computer Science, Computer Engineering, or related 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 network deployment and migration projects.
• Experience with responsible AI practices and scripting languages.
• Experience in data center, edge, or large-scale network environments.

Responsibilities

• Lead the technical strategy, architecture, and execution for deployment projects.
• Provide hands-on contributions in design, deployment, migration, troubleshooting, and reviews.
• Build six-month to multi-year roadmaps aligning with business growth and transformation.
• Ensure reliability, scalability, and performance across all deliverables.
• Collaborate across Network Engineering, Data Center, Edge, and Planning teams.
• Deploy, migrate, and support our global production network including edge, backbone, and data center infrastructure.
• Manage key vendor relationships including contract negotiations and evaluations.
• Mentor and onboard new team members, raising the team’s technical acumen.
• Demonstrate leadership and drive collaboration within the team and organization.
• Travel 10% to 30%.

Skills

Network engineering

Education

Bachelor’s degree in CS/CE or equivalent

Job description

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:

1. 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

2. 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

3. 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

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

5. Collaborate cross‑functionally across Network Engineering, Data Center, Edge, and Planning teams to ensure successful execution of shared goals on Network Capacity and Reliability

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(s) to effectively meet business needs

9. Mentor and onboard new team members, raising the team’s overall technical acumen and building internal community

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

11. 10% to 30% of travel

Minimum Qualifications:

Minimum Qualifications:

1. 10+ years of Network Engineering, including hands‑on responsibility for planning, building, deployment or migrating production network environments

2. Hands‑on experience with enterprise and carrier class routing, switching, and optical transport platforms

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

4. Bachelor’s degree in computer science, Computer Engineering, relevant technical field, or equivalent practical experience

5. Experience interacting with vendors and external parties to drive projects to completion

6. Knowledge of data center design and operational best practices

7. Experience leading and executing network deployment and migration projects

Preferred Qualifications:

Preferred Qualifications:

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

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

3. Knowledge of various scripting languages

4. Experience with process improvement and systems development, leveraging automation to streamline repetitive workflows

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

6. Network certifications such as CCE, CCIE, or JNCIE

7. 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 …???. 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].