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Tier-1 brand and metro location increase competition, while seniority and niche security skills moderate it.
Cloud and cybersecurity skills transfer across industries but the enterprise/financial context and AI-assisted tooling create moderate domain specificity.
Explicit 10+ years requirement, certifications, advanced programming and cloud/security mandates indicate high strictness.
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Own the facilitation of security requirements and multi-level security solutions across multiple networks to meet organizational security needs.
Lead risk-based triage and resource management during security threat events affecting business operations.
Drive adoption and governance of AI-assisted engineering practices to enhance code quality, delivery speed, and operational outcomes within the team.
10+ years of hands-on cybersecurity experience.
5+ years of applied security engineering experience with formal training or certification in security engineering concepts.
Advanced proficiency in one or more programming languages and deep knowledge in platform security and technical disciplines like AWS, Kubernetes, AI/ML.
Experience with threat modeling, business risk articulation, and leading AI-assisted software development tool adoption.
Experienced in delivering enterprise-scale security solutions combining technical depth and strategic risk management.
Skilled at influencing and communicating security strategy and AI-assisted engineering adoption to senior business stakeholders and technical teams.
Independent problem solver capable of designing complex security and functionality solutions with minimal oversight.