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
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
