Identity Security Engineer II — Fraud Detection & AI-Native

Socket.dev; San Francisco (CA); On-site; USD 149,000 - 215,000; Full time

Benefits offered by this job

Bonus or incentive compensation

Equity

Comprehensive benefits package

Job summary

Abnormal AI in San Francisco is hiring for a role focused on building identity verification and fraud detection systems across the applicant lifecycle. You will develop correlation engines that analyze IPs, emails, and resume metadata to detect suspicious activity and stop infiltrators before onboarding.

You’ll create high-availability pipelines feeding signals from ATS, identity providers, and risk intel, shipping guardrails in real time.

Qualifications

• 2+ years building software applications.
• Experience producing large-scale, data-intensive systems.
• High velocity and creativity in solving fraud detection challenges.
• Experience and desire to adopt AI-native development workflows.
• Strong debugging skills with logs and metrics.
• Ability to translate security and business requirements into software.
• BS in CS/SE/IS or a related field.
• Experience with Go and Python.

Responsibilities

• Build identity verification and fraud detection systems to scrutinize candidate data.
• Develop sophisticated 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.
• Drive 0→1 iteration: prototype, test, learn, and scale simple solutions.
• Collaborate across security, platform, and data teams; review designs and participate in SDLC rituals.

Skills

Software development

Data-intensive systems

AI-native workflows

Debugging skills

Cross-functional collaboration

Problem solving

Education

BS in CS/SE/IS

Tools

Go

Python

Job description

Abnormal AI in San Francisco is hiring for a role focused on building identity verification and fraud detection systems across the applicant lifecycle. You will develop correlation engines that analyze IPs, emails, and resume metadata to detect suspicious activity and stop infiltrators before onboarding.

You’ll create high-availability pipelines feeding signals from ATS, identity providers, and risk intel, shipping guardrails in real time.