Lead development of production-grade machine learning infrastructure for payment risk and fraud detection using Databricks. Build feature pipelines, model training and deployment workflows, versioning, orchestration, retraining, drift monitoring, low-latency inference, and incident response. Establish ML engineering standards and technical direction while partnering closely with Risk, Software Engineering, and Data Engineering. Own the operational health and continuous improvement of risk models in production.

As a Senior Software Engineer, you will build and scale a fintech payments platform, ensuring security and scalability, while collaborating closely with cross-functional teams and mentoring other engineers.

As a Staff Software Engineer, you will build and scale payment systems, engage in fullstack development, collaborate with teams, and influence product strategy.