Senior Optical Network Deployment Engineer (AI Backbone)

Meta

Aurora (IL)

On-site

USD 135,000 - 191,000

Full time

10 days ago
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Job summary

Meta seeks an Optical Deployment & Support Engineer to plan and execute deployments for its world-class optical backbone. You will own deployment planning, implementation, and scaling of Meta's AI network infrastructure across edge, backbones, and data centers.

You will lead end-to-end deployment activities, mentor team members, and drive continuous improvement in engineering processes while collaborating with multiple orgs to achieve strategic goals.

Qualifications

  • Bachelor's degree or equivalent practical experience in a relevant technical field.
  • 6+ years of Network Engineering experience including deployment or migration of production networks.
  • 3+ years experience in Optical Network Engineering.

Responsibilities

  • Lead deployment architecture and execution for ENS projects, aligning with organizational goals.
  • Provide hands-on design, deployment, migration, code reviews, and troubleshooting for large-scale programs.
  • Execute six-month to multi-year roadmaps to support growth while delivering results.
  • Apply reliability, scalability, and performance standards to all deliverables.
  • Collaborate across Network Engineering, Data Center, Network Investments, and Planning teams for successful delivery.
  • Deploy, migrate and support global production network including edge, backbone, and data center infrastructure.
  • Mentor and onboard new team members to raise overall technical capability.
  • Travel 10% to 30%.

Skills

Network Engineering
Optical Networking
Routing & Switching
Data Center Design
Vendor Liaison
Project Leadership
Automation Tools
AI Tools Integration

Education

Bachelor's degree in Computer Science/Engineering or equivalent

Tools

Python
Go

Job description

Meta seeks an Optical Deployment & Support Engineer to plan and execute deployments for its world-class optical backbone. You will own deployment planning, implementation, and scaling of Meta's AI network infrastructure across edge, backbones, and data centers.

You will lead end-to-end deployment activities, mentor team members, and drive continuous improvement in engineering processes while collaborating with multiple orgs to achieve strategic goals.

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