Senior Full Stack Developer
Listed on Wise’s official careers site. Posted September 3, 2026. Check that it is still open and apply there.
Apply on Wise’s careers site →Job description
Join us as a Software Engineer in our critical Scam Prevention team. This is a high-impact engineering role with a strong product focus, dedicated to solving complex, real-world adversarial problems to directly protect our global customer base.
How we work
The Scam Prevention Team The Scam Prevention team is on the front lines, dedicated to safeguarding our platform against sophisticated financial crime. We leverage cutting-edge machine learning, real-time transaction monitoring, and advanced data analysis to create robust controls and detection capabilities. Our vision is to build a globally scalable fraud prevention engine that protects customer accounts, prevents scams, and consistently surpasses regulatory expectations.
What will you be working on?: This defining role involves continuously improving our financial crime prevention infrastructure and systems. You will deliver a direct, measurable impact on customer security by taking end-to-end ownership of projects focused on: Building and refining critical controls to prevent Wise customers from scams. Drive Backend and Frontend for our scam prevention and detection systems - You will be working 80% of the time on a backend and 20% on the frontend You will be delivering a tangible, real-world impact by securing customers' money, accelerating product growth by raising automation levels, and helping us engineer a world-class money transfer product.
Qualifications
Engineering Expertise
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.
System Design & Operation
Proven experience designing and operating CI/CD pipelines, Distributed, and Concurrent Systems.
Product Ownership
A strong product mindset, accountability, and the ability to drive projects independently, making data-driven decisions with the customer in mind.
Data Proficiency
Experience with relational and non-relational databases, including query optimisation and designing resilient schemas.
Code Quality
Exceptional fundamentals, sharp problem-solving ability, and a commitment to Test Driven Development and best coding practices.
Collaboration
Excellent communication skills to articulate complex technical concepts across teams (Product, Data Science, Investigations).
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