Network Engineer, Optical Deployment

Meta; Denver (CO); Presencial; USD 140.000 - 200.000; Jornada completa

Descripción de la vacante

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

You will lead technical deployment efforts across edge, backbone, and data center environments, mentor teammates, and collaborate with multiple orgs to ensure on‑time, high‑quality delivery with strong automation and AI integration.

Formación

• 6+ years of Network Engineering experience with hands-on deployment
• 3+ years in Optical Network Engineering
• Experience with enterprise/carrier routing, switching, and optical transport
• Experience leading deployment projects and coordinating with vendors
• Knowledge of data center design and operational best practices
• Familiarity with AI tools and automation to optimize workflows

Responsabilidades

• Lead deployment planning, architecture, and execution for ENS projects
• Contribute hands-on design, deployment, migration, and troubleshooting
• Drive roadmaps and coordinate cross-functional teams for multi-year programs
• Apply reliability, scalability and performance standards to deliverables
• Collaborate with Network Engineering, Data Center, and Planning teams
• Deploy and support global production network across edge, backbone, and data center infra
• Mentor new team members and build internal expertise
• Travel 10% to 30%

Conocimientos

Python

Go

Automation

Networking

Optical networking

Routing & Switching

Vendor liaison

Educación

Bachelor's degree in Computer Science or related field

Herramientas

Networking hardware

Automation tooling

Network performance tools

Descripción del empleo

About

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 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
• Apply established engineering standards for reliability, scalability, and performance to 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 Experience with process improvement and systems development, leveraging automation to streamline repetitive workflows
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience in data center, edge, or large‑scale network environments
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Proficiency in automation (Python, Go, etc.) and network configuration management tooling
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)