Network Engineer, Deployment & Support

Meta's Edge & Network Service (ENS) team is actively looking for skilled engineers to help us tackle the unique set of challenges and opportunities we face, while contributing to our company mission of connecting the world. Our team is the execution arm of the Meta network team and is responsible for the deployment and support of all production networks (Edge, Backbone, Optical, and Datacenter) as well as our content delivery network (CDN) across the globe. This truly global team offers a unique career opportunity to work with all of the latest network technologies and engineers solving complex networking problems at scale.

Responsibilities

• Deployment, configuration, and management of all network infrastructure on our datacenter campus
• Work with partner teams and vendors to manage day-to-day operations and reliability of the regional network
• Schedule and perform maintenance including upgrades, migrations, and decommissioning of production networks
• Create deployment packages and maintain as-built documentation and asset database for installed network gear
• Establish and implement global best practices and contribute to the design of new scalable network solutions
• Support the development, testing and integration of new hardware and software platforms into the network
• Participate in an on-call rotation to support the regional network infrastructure 24x7
• 10% of travel required, up to 30% based on projects

Minimum qualifications

• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
• Bachelor's degree in Engineering, Computer Science, relevant technical field, or equivalent practical experience
• 4+ years of networking experience with designing, deploying, and supporting service provider, data center, and/or enterprise network infrastructure
• Experience configuring and troubleshooting routing and switching protocols
• Working knowledge of network protocols (TCP/UDP, DHCP, DNS)
• Working knowledge with tooling and automation support for network deployment & operations across infrastructure environments
• Familiarity with Linux-based systems and experience with scripting and automation (Bash, Python, Perl)
• Experience working in a multi-vendor environment with hands-on experience with networking hardware
• Working knowledge of physical infrastructure design including structured cabling and fiber-optic cabling
• Proven experience prioritizing competing projects based on impact, deadlines, and stakeholder needs and delivering against mission-critical deadlines
• Proven experience working in a global team environment and working independently and proactively solving problems
• Hands-on experience with enterprise and carrier class routing, switching, and optical transport platforms
• Knowledge of data center design and operational best practices
• Experience analyzing situations and applying problem-solving skills to diagnose and resolve network issues during incidents or outages
• Proven experience leading and executing network deployment projects
• Experience working independently to drive tasks to completion
• Experience interacting with vendors and external parties to drive projects to completion
• Time and project management experience

Preferred qualifications

• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Technical leadership and people management experience
• Working knowledge of OTN CWDM, DWDM and optical transport network technologies
• Experience with field-based work in Data Centers, Colocation Facilities, Internet Exchanges, or Central Offices
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Working knowledge of data center power and cooling infrastructure and critical facility operational best practices
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)