Lead deep technical security reviews of products, services, infrastructure, and emerging technologies using AI-enabled methods including architecture analysis, threat modeling, adversarial testing, source review, telemetry, and data analysis. Turn review outcomes into prioritized security roadmaps with clear tradeoffs, practical milestones, and measurable risk-reduction goals. Build and maintain security tools, automation, prototypes, and reusable engineering patterns that teams adopt in real workflows. Partner directly with product and research teams to design, debug, implement, and validate security improvements, staying engaged through root-cause resolution rather than stopping at recommendations. Integrate automated security checks, guardrails, and secure defaults into engineering systems so successful one-off work becomes scalable capability. Use threat intelligence, hunting techniques, telemetry, and incident learning to identify emerging attack paths and convert them into detections, controls, and engineering priorities. Doctorate in Statistics, Mathematics, Computer Science, or related field AND 5+ years experience in software development lifecycle, large-scale computing, threat modeling, cyber security, anomaly detection, Security Operations Center (SOC) detection, threat analytics, security incident and event management (SIEM), information technology (IT), or operations incident response OR Master's Degree in Statistics, Mathematics, Computer Science, or related field AND 6+ years experience in software development lifecycle, large-scale computing, threat modeling, cyber security, anomaly detection, Security Operations Center (SOC) detection, threat analytics, security incident and event management (SIEM), information technology (IT), or operations incident response Experience owning complex, multidisciplinary, multi-organization security problems from initial scoping through technical resolution and validated improvement. Experience building and maintaining security tools, automation, or internal security capabilities used by real engineering teams. Software engineering experience in one or more general-purpose languages, such as Python, C#, C++, Go, Java, Rust, or TypeScript, enabled by agentic software engineering practices. Hands-on experience with at least multiple security assessment methods such as threat modeling, architecture review, source or configuration review, adversarial testing, attack-path analysis, detection engineering, or incident investigation. Experience working directly with product or engineering teams to prioritize, implement, and validate security improvements. Ability to analyze security or operational data and use evidence to make technical and prioritization decisions. Securing complex cloud, distributed, identity, data, AI, or developer-platform systems. Designing secure defaults, reusable engineering patterns, or automated controls that reduced the effort required for other teams to build securely. Using threat intelligence, adversary simulation, hunting, or incident findings to improve preventive or detective controls at a systemic level. Leading complex cross-team technical initiatives through technical credibility and influence, and mentoring other engineers or security practitioners at an industry level.
Want jobs like this matched to you?
SimpleCareer scores fresh postings against your résumé so you only see the matches that matter.