Staff Software Engineer - Fraud
Core
Building intelligent, automated systems and operational tools for real-time fraud prevention and risk scoring to enable instant business account approvals.
Role type
Staff Software Engineer (Backend/Fraud Systems)
Builds
Highly available, low-latency backend systems for fraud detection and ML model serving
Domain
Fintech / Risk Management / Machine Learning
Deliverable
production ML models | product features | infrastructure
Required skills
Backend software development, System architecture, Real-time decisioning, ML pipeline integration, Technical leadership, Cross-functional project delivery
Preferred skills
Haskell, Fintech domain experience, Fraud systems experience
Technologies
Haskell, ML frameworks (implied via partnership with Data Science)
Responsibilities
Lead architecture and roadmap for core fraud prevention systems; Design and operate low-latency backend systems for real-time scoring; Partner with Data Science to productionize models and build ML pipelines; Mentor engineers and establish department best practices; Drive end-to-end delivery of large cross-functional projects
Seniority
Staff, hands-on IC with strategic influence
