Network Engineer,Deployment & Support Job Dover area,Delaware USA,IT/Tech

Summary:

Meta's Edge & Network Services team is actively looking for passionate people 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 across the globe.

This truly global team offers a unique career opportunity to work with all of the latest network technologies and talented engineers solving some of the most complex problems in the industry.

Required Skills:

Network Engineer, Deployment & Support Responsibilities:

Participate in the design engineering and implementation of large-scale data center networks across multiple geographic locations

Research, develop & deploy numerous technologies and network topologies in order to evolve and scale our data centers and optimize deployments

Initiate and lead strategic initiatives driving efficiency, innovation, and standardization of our data centers

Work closely with cross-functional teams and external vendors to develop new features and influence the future of networking

Influence future iterations of data center and network designs to ensure seamless integration of new infrastructure

Actively participate in the New Product Introduction (NPI) process for network infrastructure

Partner with our software teams to develop and implement the tooling required to provision, manage, monitor and troubleshoot our networks

Work with network engineering, data center design, and data center connectivity teams to generate network infrastructure design packages for the deployment teams

Build and nurture business relationships with key stakeholders, partners, and vendors

Develop automation and tooling to drive consistency and efficiency in all aspects of network design, deployment, and operations

Perform site visits and work cross-functionally with construction, design architects, and contractors to validate cabling infrastructure and network builds according to Meta standards

Maintain technical reference, process, and training documentation

25% to 40% of travel required based on project demand

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Experience with leveraging AI to drive areas efficiencies for improved reliability, quality and speed of deployments

In depth experience with designing and deploying large-scale data center network infrastructure

Demonstrated knowledge of structured cabling and fiber optic infrastructure including design and installation best practices, industry standards, application and limitations

Knowledge of the data center design, construction, and start up/commissioning processes

Experience leading cross-functional teams and driving large-scale data center projects

Track record of solving problems, setting strategic direction, and executing tactically

Working knowledge of internet networking technologies (TCP/IP, routing, switching) and optical transport technologies

Knowledge of enterprise and provider level network hardware platforms (IP + Optical)

Organizational, multitasking, prioritization and communication experience

Preferred Qualifications:

Experience leading and or managing technical teams

In-depth knowledge of network protocols (TCP/IP, BGP,IS-IS,etc.)

Knowledge of network tooling and automation systems

In-depth knowledge of inside/outside plant cable design and dark fiber builds

Experience working on a global team in a matrixed environment with limited supervision

Data center design or relevant telecommunications certifications

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)

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration)…