Global Data Center Network Engineer — Deployment & Support

Meta; Cheyenne (WY); On-site; USD 162,000 - 227,000; Full time

Job summary

Meta's Edge & Network Services team is seeking a Network Engineer to design, deploy, and support large-scale data center networks across multiple locations. You will work with cutting-edge networking tech, partner with software teams to build tooling, and travel as project demands.

The role emphasizes cross-functional collaboration, leadership in network infrastructure projects, and applying AI to improve reliability, quality, and deployment speed.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.
• Experience applying AI to improve deployment reliability, quality, and speed.
• Extensive experience designing and deploying large-scale data center networks.
• Knowledge of structured cabling and fiber optic infrastructure.
• Experience leading cross-functional teams on large data center projects.

Responsibilities

• Participate in design engineering and implementation of large-scale data center networks across multiple locations.
• Research, deploy technologies and network topologies to scale data centers and optimize deployments.
• Lead initiatives driving efficiency, innovation, and standardization of data centers.
• Collaborate with cross-functional teams and external vendors to develop new features and influence future networking.
• Develop automation to provision, monitor, and troubleshoot networks.
• Travel 25%–40% based on project demand.

Skills

Large-scale data center networks

Network deployment & support

Automation tooling

Cross-functional collaboration

Travel readiness

Education

Bachelor's degree in Computer Science or related field

Job description

Meta's Edge & Network Services team is seeking a Network Engineer to design, deploy, and support large-scale data center networks across multiple locations. You will work with cutting-edge networking tech, partner with software teams to build tooling, and travel as project demands.

The role emphasizes cross-functional collaboration, leadership in network infrastructure projects, and applying AI to improve reliability, quality, and deployment speed.