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Software Engineer II - Insider Risk

Abnormal ·Hybrid - San Francisco, CA, USA ·Hybrid 12d ago
GoPython

About the role

Build identity verification and fraud detection systems to scrutinize candidate data during application. Develop correlation engines matching candidate details against known indicators of fraud. Create high-availability pipelines for signals from ATS, identity providers, and external risk intelligence. Ship automated guardrails for real-time flagging of high-risk candidates. Drive rapid iteration and collaborate across security, platform, and data teams.

Requirements

Minimum 2+ years building software applications. Experience productionizing large-scale data-intensive systems. High velocity and creativity in fraud detection challenges. Experience with AI-native development workflows. Strong debugging skills. Ability to translate complex security requirements into software. Independent problem-solving. BS in CS/SE/IS or related field. Preferred: Experience with Go, Python, fraud detection, cybersecurity, and machine learning.

About the company

Abnormal

Abnormal Security provides a behavioral security platform designed for the AI era, focusing on protecting organizations from advanced cyber threats. Their AI-powered solutions offer comprehensive security for email, identity, and application posture management, enabling automated detection and response to stop attacks that other solutions miss.

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$149k–215k
Hybrid Hybrid - San Francisco, CA, USASan Francisco, USA
Posted 12d ago
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About the company
Abnormal
https://abnormal.ai

Abnormal Security provides a behavioral security platform designed for the AI era, focusing on protecting organizations from advanced cyber threats. Their AI-powered solutions offer comprehensive security for email, identity, and application posture management, enabling automated detection and response to stop attacks that other solutions miss.

View company page →