Security Detection Engineer, Insider Trust

We are seeking a Security Engineer who specializes in designing and implementing new systems and tools to enhance the security of Meta’s products and infrastructure. This role is ideal for individuals with deep security domain expertise who are passionate about building solutions and using AI to address evolving security requirements and use cases.

Responsibilities

Design, prototype, and implement AI-driven security systems and tools to protect Meta’s products and internal infrastructure
Develop and maintain security-focused code, libraries, and frameworks for use by Security Engineers, Analysts, and engineering teams
Collaborate with cross-functional partners to deliver scalable security solutions aligned with company objectives
Rapidly experiment with and iterate on specialized security technologies, leveraging AI to address emerging threats and requirements
Apply deep security expertise to solve complex challenges, mitigate risks, and mentor other engineers in advanced security domains

Qualifications

B.S. or M.S. in Computer Science or related field, or equivalent experience
5+ years of experience in designing and implementing security systems, tools, or frameworks
Knowledge of attacker tactics, techniques, and procedures (e.g., MITRE ATT&CK framework)
Proficiency in coding with experience in languages such as Python, C/C++, Go, or equivalent
Experience collaborating with technical and non-technical stakeholders
Ability to rapidly prototype and iterate on security solutions Experience in Detection and Response Engineering, or similar Security Engineering role
Understanding of insider threat concepts, behavioral/complex threat detection techniques and technologies
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Experience in technical security investigations and threat hunting including leveraging intelligence data to proactively identify and investigate suspicious behavior across networks and systems
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience with log analysis, and building complex automations and integrations using Security Information and Event Management(SIEM) or Security Orchestration, Automation and Response(SOAR) platforms
Experience analyzing network, application, and host-based security events
Background in security-focused software engineering, and designing scalable systems and data pipelines used to detect and respond to insider threats
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)