Backend Engineer - Feature Platform
Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed.Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere.More about our mission and what we offer. The team you will be joining: Feature PlatformWise moves billions every year for millions of people and businesses across many different countries and currencies; while bad actors constantly evolve: scams, impersonation, account takeover, money laundering, mule networks, and other forms of abuse emerge. At this scale, in order to stay ahead of evolving threats, our automated controls and machine learning models require high-quality, real-time insights. Success lies in a centralized approach that provides the necessary governance, speed, and data consistency to power these critical systems.Wise’s centralized feature engineering platform for financial crime detection is the Feature Platform. Its goal is that every fraud signal, AML indicator, and risk feature flows through a single governed platform instead of each team maintaining siloed calculations. It owns the feature lifecycle tracks from finding, experimenting, and building data points to using them in millions of transactions daily. How can you contribute?Engineering. Tackle complex technical challenges focused on scalability, reliability, and speed, maintaining a high-performance infrastructure that processes millions of events with low latency.Innovation. Collaborate with Data Scientists and Engineers to design and implement cutting-edge feature topologies, including graphs, support vectors, and time-series data to stay ahead of evolving financial threats.Engagement. Drive platform adoption by partnering with teams across Wise to centralize existing risk logic and expand our self-service capabilities, ensuring that all risk signals are robust, governed, and consistent. What does it take?3+ years of Java 11+ knowledge, fluent in Java 21+Familiarity with Python (or willingness to learn on the job)Experience with batch or stream processing (preferably Apache Spark and Flink/Kafka streams) Familiarity with SQL and no-SQL (document) databasesExperience with complex systems distributed across several microservices, Kafka, scattered data and ownershipHands-on knowledge of system integration patternsA strong product mindset and passion for user experience, you prioritise work with the customers in mind and drive data-driven decisions to fix customer pain-pointsStrong problem-solving skills to help refine problem statements and figure out how to solve them with the available data and from first principlesHigh level of ownership, including identifying impactful problems to solve, getting buy-in from s...