Network Engineer, Optical Deployment

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.
Possess 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.

Requirements

• 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

Qualifications

• 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)

Benefits

$135,000/year to $191,000/year + bonus + equity + benefits