• Build identity verification and fraud detection systems to scrutinize candidate data during the application process. • Develop sophisticated correlation engines that match candidate details (IPs, phone numbers, email history, resume metadata) against known indicators of fraudulent or state-sponsored activity. • Create high-availability pipelines that ingest and analyze signals from application tracking systems (ATS), identity providers, and external risk intelligence. • Ship automated guardrails that flag high-risk candidates in real-time, enabling security teams to act before an infiltrator is onboarded. • Drive 0→1 iteration: prototype quickly, test fraud detection assumptions, learn from emerging threat patterns, and scale simple, effective solutions. • Collaborate across security, platform, and data teams; write and review technical designs; and participate in core SDLC rituals.