Identity Security Engineer - Insider Risk & Fraud Detection

Abnormal Security; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Healthcare

Flexible PTO

401k

One Medical

FSA

Mental Health Resources

Home Office Stipend

Internet & Phone Stipend

Wellness Stipend

Job summary

Abnormal Security is seeking a software engineer for its Identity Security team in San Francisco. You will build systems to verify candidate identities, detect fraud, and protect the hiring process from infiltrators with high-stakes threats.

The role emphasizes rapid prototyping, scalable data pipelines, and close collaboration with security, platform, and data teams to translate complex requirements into reliable, high-quality software.

Qualifications

• BS in CS/SE/IS or a related field.
• 2+ years building software applications.
• Experience with Go and Python.
• Experience productionizing large-scale, data-intensive systems.
• Experience with big data, statistics, and ML for identity/behavioral risk modeling and anomaly detection.
• Background in cybersecurity, insider threats or nation-state actor TTPs (Tactics, Techniques, and Procedures).
• Strong debugging skills with logs, metrics, and behavioral signals.
• Experience with AI-native development workflows.

Responsibilities

• Build identity verification and fraud detection systems to scrutinize candidate data during the application process
• Develop sophisticated correlation engines that match candidate details against indicators of fraudulent activity
• Create high-availability pipelines that ingest and analyze signals from ATS, identity providers, and external risk intelligence
• Ship automated guardrails that flag high-risk candidates in real-time for security teams
• Drive 0→1 iteration: prototype quickly, test fraud detection assumptions, and scale effective solutions
• Collaborate across security, platform, and data teams; write and review technical designs; participate in core SDLC rituals

Skills

2+ years software development

Go

Python

ML for identity risk

Big data

Anomaly detection

Security / fraud domain

Education

BS in CS/SE/IS or related field

Tools

Go

Python

Job description

Abnormal Security is seeking a software engineer for its Identity Security team in San Francisco. You will build systems to verify candidate identities, detect fraud, and protect the hiring process from infiltrators with high-stakes threats.

The role emphasizes rapid prototyping, scalable data pipelines, and close collaboration with security, platform, and data teams to translate complex requirements into reliable, high-quality software.