Optical Network Deployment Engineer – Edge & Core

Meta

Huntsville (AL)

On-site

USD 135,000 - 191,000

Full time

3 days ago
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Job summary

Meta is seeking an Optical Network Deployment & Support Engineer to plan and execute network deployments for a leading optical backbone. You will own deployment planning, implementation, and scaling of Meta's AI network infrastructure.

Responsibilities include leading deployment, architecture, and hands-on contributions across large programs, while contributing to roadmaps and ensuring reliability, scalability, and performance. Expect 10–30% travel and opportunities to mentor teammates.

Qualifications

  • Bachelor’s degree in Computer Science, Computer Engineering, or equivalent practical experience.
  • 6+ years of Network Engineering including planning, building, deployment or migration of production networks.
  • 3+ years experience in Optical Network Engineering.
  • Hands-on experience with enterprise and carrier-class routing, switching, and optical transport platforms.

Responsibilities

  • Lead deployment, architecture, and execution for EN(S) projects.
  • Provide hands-on contributions on design, deployment, migration, reviews, and troubleshooting.
  • Contribute to six-month to multi-year roadmaps to support growth and transformation.
  • Apply engineering standards for reliability, scalability, and performance.
  • Collaborate across Network Engineering, Data Center, Network Investments, and Planning teams.
  • Deploy, migrate and support global production networks including edge, backbone, and data center infrastructure.
  • Mentor and onboard new team members.
  • Travel 10% to 30%.

Skills

Network Engineering
Optical Network Engineering
Automation awareness
Vendor management
Mentoring

Education

Bachelor's degree in Computer Science or related field

Tools

Python
Go
Automation tooling

Job description

Meta is seeking an Optical Network Deployment & Support Engineer to plan and execute network deployments for a leading optical backbone. You will own deployment planning, implementation, and scaling of Meta's AI network infrastructure.

Responsibilities include leading deployment, architecture, and hands-on contributions across large programs, while contributing to roadmaps and ensuring reliability, scalability, and performance. Expect 10–30% travel and opportunities to mentor teammates.

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