Senior Full-Stack Software Engineer

Job description

About the role

Join us as a Senior Full-Stack Engineer in our critical Account Integrity 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. The Account Integrity Team The Account Integrity 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 prevents account takeovers by building industry-leading controls and detection. What will you be working on? This defining role involves continuously improving our financial crime prevention infrastructure systems and building customer-facing controls. 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 protect Wise customers accounts from account takeovers.

Working in a full-stack capacity - with Product & Design to design convenient, customer-facing controls & working with data scientists and data analysts to improve our detection capabilities 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. What do you need?

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). Experience in mentoring and growing more junior Engineers.

Nice to Have

Familiarity with the machine learning lifecycle (data pipelines, feature engineering, and deploying ML systems into production).