•Facilitate security requirements clarification for multiple networks to enable multi-level security that satisfies organizational needs
•Work with stakeholders and senior business leaders to recommend business modifications during periods of vulnerability
•Triage based on risk assessments of various threats and manage resources to cover the impact of disruptive events
•Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
•Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Required qualifications, capabilities and skills
•Formal training or certification on security engineering concepts and 5+ years applied experience
•10+ years cyber security hands-on experience
•Skilled in planning, designing, and implementing enterprise-level security solutions
•Advanced in one or more programming languages
•Advanced knowledge of platform security enablement and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., AWS, Kubernetes, artificial intelligence, machine learning, etc.)
•Extensive experience with threat modeling and business risk articulation
•Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
•Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
•Ability to tackle design and functionality problems independently with little to no oversight
