Network Engineer, Deployment & Support
meta platformsHenrico (VA)
Network Engineer, Deployment & Support
Posted today
meta platformsHenrico (VA)
SENIORITY
Lead
About the role
Network Engineer, Deployment & Support 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.
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
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 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
- Experience working with on-site construction teams and managing contractor and vendor relationships
- 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) and staying current with emerging AI technologies
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.