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Mid-level experience range, metro location, and broad platform plus AI security skills increase applicant competition.
Core AppSec skills transfer across industries but financial regulation and AI governance needs raise domain specificity.
Explicit 5-7 years, mandatory AppSec tooling, cloud/API expertise, and regulatory requirements enforce strict filters.
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Own and embed application security practices (SAST, DAST, SCA, secure coding) into CI/CD pipelines, enabling a shift-left security culture in software development.
Lead automation and tuning of security testing tools, analyze vulnerabilities, and work with developers on remediation prioritization.
Define and govern secure architecture and integration standards for third-party AI and LLM services, addressing AI-specific security risks and regulatory compliance within financial environments.
5-7+ years in security engineering, application security, or product security roles with a strong software engineering background.
Hands-on experience with SAST, DAST, and SCA tooling automation in enterprise CI/CD pipelines.
Deep expertise securing cloud-native environments (AWS, Azure, or GCP) and microservices/API integrations.
Security certification in any of: CISSP, CCSP, or a Cloud Platform Security Certification (AWS Security Specialty, AZ-500, or Google Professional Cloud Security Engineer).
Senior-level practitioner comfortable collaborating cross-functionally to embed security early in development cycles, focusing on measurable security impact.
Experienced in regulated financial services or similarly high compliance environments requiring strict governance.
Proficient with securing AI/ML integrations and knowledgeable about AI-specific threats, standards, and emerging regulatory frameworks in financial contexts.