Full Stack Engineer building Go backend services, APIs, and React applications for Miratech’s US healthcare client. Developing cloud - native systems supporting conversational AI and enterprise solutions.
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.
Requirements
- 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.
Benefits
- Equal opportunity employer
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