Software Engineer II: Insider Risk & Identity Security

Abnormal AI; San Francisco (CA); On-site; USD 149,000 - 215,000; Full time

Job summary

Abnormal AI is building an Identity Security platform to detect fraudulent employee identities and prevent infiltrators during hiring. The role focuses on real-time fraud detection, correlation across signals, and scalable data pipelines to protect organizations at the point of hire.

You will work with security, platform, and data teams to prototype, test assumptions, and ship robust solutions. Requires collaboration across multiple disciplines and strong debugging skills.

Qualifications

• 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.

Responsibilities

• Build identity verification and fraud detection systems during the application process.
• Develop correlation engines matching candidate details against indicators of fraud.
• Create high-availability pipelines ingesting signals from ATS, identity providers, and risk intel.
• Ship automated guardrails that flag high-risk candidates in real-time.

Skills

Software development

Large-scale systems

Fraud detection

AI-native development

Debugging

Cross-functional collaboration

Security requirements

Education

BS in CS/SE/IS or related field

Job description

Abnormal AI is building an Identity Security platform to detect fraudulent employee identities and prevent infiltrators during hiring. The role focuses on real-time fraud detection, correlation across signals, and scalable data pipelines to protect organizations at the point of hire.

You will work with security, platform, and data teams to prototype, test assumptions, and ship robust solutions. Requires collaboration across multiple disciplines and strong debugging skills.