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Abnormal

Software Engineer II - Insider Risk

Hybrid - San Francisco, CA, USAFrom $214.5kmidAdded today

About this role

Join Abnormal's Identity Security team as a Software Engineer II to build AI-powered fraud detection and identity verification systems that protect enterprises from sophisticated infiltration and social engineering threats during hiring. You'll develop correlation engines, real-time pipelines, and automated guardrails that analyze candidate data to identify malicious actors before onboarding.

What you'll do

  • Design and build identity verification and fraud detection systems for candidate application screening
  • Develop correlation engines that match candidate signals (IPs, phone numbers, emails, resume metadata) against fraudulent and state-sponsored activity indicators
  • Create high-availability data pipelines ingesting signals from ATS, identity providers, and external risk intelligence
  • Ship automated real-time guardrails flagging high-risk candidates for security team action
  • Drive rapid 0→1 prototyping, testing fraud detection assumptions, and scaling effective solutions based on emerging threats
  • Collaborate with security, platform, and data teams on technical designs and SDLC processes

What they're looking for

  • Software application development (2+ years)
  • Large-scale data-intensive systems and productionization
  • Fraud detection and pattern matching algorithms
  • AI-native development workflows
  • Debugging with logs, metrics, and behavioral signals
  • Go and Python programming (preferred)
  • Machine learning and anomaly detection
  • Cross-functional problem-solving and communication

Benefits

  • Competitive base salary ($149,200–$214,500 USD)
  • Bonus and incentive compensation eligibility
  • Equity compensation
  • Comprehensive benefits package
  • Hybrid work arrangement in San Francisco, CA
  • Opportunity to work on cutting-edge AI-native security product
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Abnormal

Abnormal builds AI-powered email security solutions that protect against threats through narrative-driven threat understanding, SMTP relay infrastructure, and advanced filtering capabilities. The company is hiring software engineers, infrastructure engineers, sales engineers, and technical support specialists to expand its platform and support enterprise customers.

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Likely interview questions

  • Walk us through your experience building and productionizing large-scale, data-intensive systems—what challenges did you encounter and how did you solve them?
  • Describe a time you debugged a complex production issue using logs, metrics, and behavioral signals. How did you approach it?
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