2 days ago
Tallinn, EstoniaSenior
Responsibilities
- Design and build scalable systems for AML case handling and investigation workflows.
- Own substantial technical initiatives from problem definition and technical approach through production delivery and operation.
- Partner with Product, Operations, Data Scientists, and Data Analysts to identify opportunities, shape product decisions, and measure impact.
- Build automation and bring AI capabilities into production with attention to quality, evaluation, traceability, and human oversight.
- Improve reliability, security, technical quality, testing, code reviews, and knowledge sharing.
Requirements
- 5+ years of experience building backend, distributed, or data-intensive systems.
- Strong Java skills and experience with Spring, relational databases, and asynchronous messaging.
- Ability to own outcomes and lead technical initiatives from initial idea through reliable production delivery.
- Full-stack mindset and willingness to work across the stack.
- Product mindset, sound technical judgment, and ability to design for scale, maintainability, and operational reliability.
- Clear communication and collaboration skills across engineering, product, operations, and data disciplines.
- Experience deploying machine learning or LLM-based systems in production, evaluating AI quality and cost, or building operational workflow and case management tools is nice to have.
- Prior AML experience is not required.
Benefits
- Monthly compensation of EUR 5750–7083.33.
- Inclusive, diverse, equitable, and international team environment.
Tech Stack
Categories
About Wise
Wise builds a cross-border payments and multi-currency account used by individuals and businesses to send, receive, hold, and spend money in 40+ currencies. Revenue comes from transfer and account fees, card interchange, and enterprise partnerships via Wise Platform, which lets banks and large companies embed its international payments. Founded in 2011 as TransferWise, Wise is a London-headquartered public company.