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Software Engineer, Fraud

Builds backend systems for fraud detection, identity verification, and abuse prevention at scale. Partners with product/engineering on roadmaps; requires 4+ years software engineering experience, strong backend fundamentals, and autonomous problem-solving in ambiguous spaces.

130k – 500kSan Francisco, CANew York, NYBackend EngineeringOnsite4+ YOE

About the role

Responsibilities

  • Own and build fraud detection and prevention systems across multiple fraud surfaces, including identity and platform abuse.
  • Partner closely with product and engineering to define a fraud roadmap, prioritize the highest-leverage problems, and ship defenses quickly.
  • Design and implement tools, workflows, and backend systems that detect suspicious behavior and reduce fraudulent activity.
  • Establish clearer visibility into fraud patterns, operational risk, and the effectiveness of prevention systems over time.
  • Work across ambiguous, fast-moving problem spaces and independently drive large scopes of work on a lean team.

Requirements

  • 4+ years of experience in software engineering.
  • Preferred: Experience working on fraud or abuse prevention, with a strong understanding of how to translate patterns and threats into product and engineering roadmaps.
  • Ability to operate autonomously and take ownership over large, ambiguous problem areas.
  • Strong backend engineering fundamentals and comfort building production systems.
  • A practical, high-judgment approach to balancing speed, security, and user experience.

Benefits

  • Bi-annual performance bonus structure
  • Generous equity grant vested over 4 years
  • Up to $15k Relocation bonus
  • $10K housing bonus (if you live within 0.5 miles of our office)
  • $1.5K monthly stipend for meals
  • Free Equinox membership
  • $200 monthly laundry reimbursement
  • $200 monthly personal wellness reimbursement
  • Health, Dental, Vision insurance

Skills

Backend EngineeringFraud DetectionAbuse PreventionIdentity VerificationPythonGoJavaPostgresRedisMachine LearningRisk ModelingData PipelinesAWSKubernetes

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