What you'll be doing

• Design and build scalable systems for AML case handling and investigation workflows.
• Own substantial technical initiatives end to end, from understanding the problem and shaping the technical approach to delivery and operation in production.
• Partner with Product, Operations, Data Scientists, and Data Analysts to identify opportunities, shape product decisions, and measure the impact of your work.
• Build automation and bring AI capabilities into production, ensuring quality, evaluation, traceability, and appropriate human oversight.
• Improve reliability, security, and technical quality through thoughtful system design, testing, code reviews, and knowledge sharing.

Requirements

• 5+ years of experience building backend, distributed, or data-intensive systems with strong Java skills and experience with Spring, relational databases, and asynchronous messaging.
• Strong sense of ownership, able to lead technical initiatives from idea to reliable production solution.
• Full-stack mindset, willing to work across backend services, data, and user tools to solve problems end to end.
• Product mindset, understanding operational teams' and customers' needs and using data to guide decisions.
• Sound technical judgment designing systems for long-term change and scale while balancing maintainability and operational reliability.
• Clear communication and collaboration skills, able to explain technical trade-offs and work across engineering, product, operations, and data teams.

Nice to haves

• Experience deploying machine learning or LLM-based systems in production, evaluating AI quality and cost.
• Experience building operational workflow and case management tools.
• Curiosity and willingness to learn AML domain knowledge (no prior AML experience required).