Software Engineer, Scaled Abuse
Core
Design and build backend and data systems for real-time detection, investigation workflows, and enforcement of fraudulent and abusive behavior at scale.
Role type
Senior backend software engineer (fraud & abuse systems)
Builds
Backend systems for fraud detection, remediation, and abuse prevention
Domain
AI platform security, fraud engineering, abuse operations
Deliverable
production ML models | product features | infrastructure
Required skills
backend systems engineering, data systems engineering, fraud detection, abuse analysis, system architecture, cloud infrastructure, database management, real-time data processing, adversarial pattern recognition, codebase navigation
Preferred skills
machine learning techniques, GPT-5 integration, security operations
Technologies
Terraform, Kubernetes, Azure, Python, Postgres, Kafka
Responsibilities
Design and build systems for fraud detection and remediation while balancing fraud loss, cost of implementation, and customer experience; Work closely with finance, security, product, research, and trust & safety operations to holistically combat fraudulent and abusive actors on the system; Stay abreast of the latest techniques and tools to stay several steps ahead of determined and well-resourced adversaries; Utilize GPT-5 and future models to more effectively combat fraud and abuse
Seniority
Senior, hands-on IC
