Security Detection Engineer, Insider Trust

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)