Senior Software Engineer - Java - AML Handling

Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed.

You will be joining the AML Handling team within the AML Squad in the FinCrime Chapter. This team exists to scale operational growth while maintaining high quality by crafting back-office tooling that enables agents to work in a unified space, enhanced with Artificial Intelligence, and automatically resolving high-confidence cases.

As a Senior Software Engineer, you will help build tools and systems that enable Wise to investigate and resolve financial crime cases effectively. Your responsibilities will include:

• Designing and building scalable systems for AML case handling and investigation workflows
• Owning substantial technical initiatives end-to-end, from understanding the problem to delivery and operation in production
• Partnering with Product, Operations, Data Scientists, and Data Analysts to identify opportunities, shape product decisions, and measure the impact of your work
• Building automation and bringing AI capabilities into production, with attention to quality, evaluation, traceability, and human oversight
• Improving reliability, security, and technical quality through system design, testing, code reviews, and knowledge sharing

The technology stack used is primarily Java, Spring Boot, and Kafka, with SQL databases. You will work with distributed services, asynchronous processing, and data at scale.

Requirements include:

• 5+ years of experience building backend, distributed, or data-intensive systems with strong Java skills and experience with Spring, relational databases, and asynchronous messaging
• A strong sense of ownership and willingness to lead technical initiatives
• A full-stack mindset and ability to work across the stack to solve problems end-to-end
• A product mindset with a focus on understanding the needs of operational teams and customers
• Sound technical judgement and clear communication and collaboration skills

Nice to have: experience deploying machine learning or LLM-based systems in production, evaluating AI quality and cost, or building operational workflow and case management tools.