Meta is looking for an Optical Network Deployment & Support Engineer to join the team responsible for planning and executing network deployments to build one of the world's largest optical backbone networks. 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.
Responsibilities
- Lead the technical deployment, architecture, and execution for your team’s projects within Edge Network Services (ENS) on network deployment, ensuring alignment with organizational direction and goals
- Provide hands-on technical contributions (design, deployment, migrate, code reviews, troubleshooting, etc.) on large scale complex programs at the experienced engineer level, demonstrating domain expertise and technical impact
- Contribute to strategic objectives by executing six-month to multi-year roadmaps that support business growth and transformation. Balance high-level strategic direction 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, Network Investments, and Planning teams to ensure successful execution of shared goals on network delivery
- Deploy, migrate and support our global production network including edge, backbone, and data center infrastructure
- Mentor and onboard new team members, raising the team’s overall technical acumen and building internal community
- 10% to 30% of travel
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 6+ years of Network Engineering, including hands-on responsibility for planning, building, deployment or migrating production network environments
- 3+ years experience working in Optical Network Engineering
- Hands-on experience with enterprise and carrier class routing, switching, and optical transport platforms
- Knowledge of data center design and operational best practices
- Proven experience leading and executing network deployment and migration projects
- Experience interacting with vendors and external parties to drive projects to completion Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Experience with process improvement and systems development, leveraging automation to streamline repetitive workflows
- Experience in data center, edge, or large-scale network environments
- Proficiency in automation (Python, Go, etc.) and network configuration management tooling