Requirements

• 2–5 years of experience building backend systems, distributed systems, or data-intensive systems.
• Able to deliver medium-sized projects independently, with good judgment around scope and quality.
• Comfortable working with production systems, including testing, monitoring, and operational ownership.
• Strong fundamentals in writing maintainable code and collaborating through code review.

Nice to Have

• Experience with AML / financial crime (preferred but not required).
• Experience running machine learning and/or large language models in production (preferred but not required).

What You'll Be Doing

• Build and improve AML detection controls and the systems that support them.
• Own your work end-to-end: design, implementation, deployment, and ongoing support.
• Work closely with product managers, data scientists, analysts, and AML subject matter experts to translate risk understanding into effective controls.
• Communicate progress, risks, and trade-offs clearly to your team.
• Participate in code reviews, improve documentation, and contribute to team engineering standards.

Perks and Benefits

• Primary stack: Java, Spring Boot, Kafka
• Distributed services and asynchronous processing
• Data-intensive systems operating at scale
• Engineering focus areas: scalability, observability, privacy, security, reliability, and cost