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Network Engineer, Optical DeploymentMeta • Menlo Park, California, United States
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Network Engineer, Optical Deployment

Meta
  • US
    Menlo Park, California, United States
  • US
    Menlo Park, California, United States
Postuler Maintenant

À propos

Meta is looking for an Optical Network Deployment & Support Engineering Lead to join the team responsible for planning and executing network deployments 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.
Network Engineer, Optical Deployment Responsibilities
Lead the technical strategy, 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
Drive strategic planning by building and executing six‑month to multi‑year roadmaps that support business growth and transformation. Balance high‑level strategic approach 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
Manage key vendor relationships including contract negotiations, pricing, and evaluation of current and potential partnerships
Mentor and onboard new team members, raising the team’s overall technical acumen and building internal community
Demonstrate leadership behaviors by helping others, showing respect, connecting people, and driving collaboration within the team and organization
10% to 30% of travel
Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
8+ years of Network Engineering, including hands‑on responsibility for planning, building, deployment or migrating production network environments
5+ 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
Preferred Qualifications
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
High proficiency in automation (Python, Go, etc.) and network configuration management tooling
About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. 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 accommodations-ext@meta.com.
$162,000/year to $227,000/year + bonus + equity + benefits
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  • Menlo Park, California, United States

Compétences linguistiques

  • English
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