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.

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
• 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
  
  

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$162,000/year to $227,000/year bonus equity benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.