About the role

Software Engineer building advanced identity verification and fraud detection systems for Abnormal’s Identity Security team. Focusing on employee identity security against sophisticated insider threats and fraud.

Responsibilities

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.

2+ years building software applications.
Experience productionizing large-scale, data-intensive systems.
High velocity and creativity in solving technical challenges related to fraud detection and pattern matching.
Experience & desire to adopt & improve AI-native development workflows.
Strong debugging skills with logs, metrics, and behavioral signals.
Ability to translate complex security and business requirements into high-quality software.
Ability to independently solve complex problems and work cross-functionally.
BS in CS/SE/IS or a related field.