About this opportunity
Meta lists this LINCS Security Engineer opportunity in northern, Kentucky. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Meta is seeking an experienced Security Engineer to join our Labs Infrastructure Network Compliance Security (LINCS) team within the Infrastructure Data Center (IDC) org as an individual contributor. As a key member of the team, you will play a critical role in managing risk for our rapidly scaling global infrastructure and operations portfolio spanning data centers, edge, backbone, subsea, and supply chain. Our mission is to design, implement, and maintain robust physical and logical security systems that ensure business continuity, protect customer data, and assure compliance with Meta’s security policies and regulatory requirements.
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience7+ years of experience in network security, infrastructure security, or telecommunications security, with demonstrated ownership of security programs in large-scale network environments
Bachelor's degree in a related field or equivalent additional experience
Experience working across multiple security domains such as network security, physical security, and logical/cyber security
Experience in establishing, scaling, and maturing security projects and programs
Experience supporting security for large-scale and/or mission-critical infrastructure and operations
Basic understanding of network engineering fundamentals, such as TCP/IP, routing, switching, network segmentation, and protocol analysis
Basic understanding of network security, including the design, implementation, and management of secure network architectures for large-scale network infrastructure
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Advanced degree in a related field
Experience in managing, executing, and delivering multiple complex projects and programs by prioritizing based on impact, deadlines, and stakeholder needs
Experience working on or managing projects that have enterprise-wide impact and/or multi-organization, cross-functional stakeholders
Understanding and awareness of prevailing industry standards and guidelines
Background in intrusion detection, security investigations, and incident response
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Experience working directly in hyperscale data center programs or other large-scale mission-critical infrastructure
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.