TL;DR

Software Engineer (Fraud Engineering): Designing and implementing fraud detection and prevention systems for a new payments platform serving over 600 million users with an accent on security, distributed systems, and real-time processing. Focus on building resilient systems that mitigate fraud and enhance user trust.

Location: Based in Palo Alto, candidates should be located near the Bay Area or open to relocation.

Company

%hirify_global% is focused on creating AI systems that enhance human understanding and knowledge.

What you will do

Design and implement fraud detection and prevention systems at global scale.
Develop risk scoring engines and real-time enforcement mechanisms.
Collaborate with various teams to ensure a secure user experience.
Monitor fraud trends and respond to new attack vectors.
Define engineering standards for fraud-related systems.

Requirements

7+ years of backend or systems engineering experience.
Experience with fraud, risk, or abuse prevention systems preferred.
Strong understanding of distributed systems and security principles.
Ability to adapt quickly to evolving challenges.

Nice to have

Experience with real-time anomaly detection and machine learning for fraud.
Familiarity with AML/KYC regulations.
Experience in fintech or trust & safety.

Culture & Benefits

Equity and comprehensive medical, vision, and dental coverage.
Access to a 401(k) retirement plan.
Short & long-term disability insurance and life insurance.

Hiring process

30-minute phone interview with technical questions.
Coding assessment in a language of your choice.
Systems design and project deep-dive presentations.