Building and refining critical controls to prevent Wise customers from scams.
Driving backend (80%) and frontend (20%) development for scam prevention and detection systems.
Delivering tangible impact by securing customers' money, raising automation levels, and helping engineer a world-class money transfer product.
Requirements
Professional experience with Java or other JVM-based languages, including the Spring framework.
Experience building and designing scalable web applications that handle large amounts of traffic, ideally using React-based frontend applications, JavaScript / TypeScript.
Proven experience designing and operating CI/CD pipelines, distributed, and concurrent systems.
Strong product mindset, accountability, and ability to drive projects independently with data-driven decisions focused on the customer.
Experience with relational and non-relational databases, including query optimisation and designing resilient schemas.
Exceptional coding fundamentals, problem-solving ability, and commitment to Test Driven Development and best practices.
Excellent communication skills to articulate complex technical concepts across teams (Product, Data Science, Investigations).
Nice to haves
Familiarity with the machine learning lifecycle, including data pipelines, feature engineering, and deploying ML systems into production.