Backend Engineer - NorthAm

Job description

The team you will be working with: North America Risk The North America Risk team is a critical engine within Wise, focusing on our largest and most dynamic market: North America. About the Team Our mission is to protect our customers and the business by staying ahead of financial crime. We handle billions of volume through robust risk and fraud prevention systems that operate at the speed of our customers.

What we do Real-Time Decision Making

We leverage cutting-edge machine learning to run risk assessments instantly, every time a customer uses the calculator (create a quote for a transaction), ensuring a seamless yet secure experience Enabling Unique Features: We own the risk infrastructure for Instant ACH, one of our most unique and high-value features in the US market. Instant ACH provides instant transfers despite the payment network not supporting that

Cross-Functional Collaboration: Software Engineers, Data Analysts, and Data Scientists collaborate on a daily basis to design new rules, refine ML models, and provide critical support to our chargeback and fraud investigation teams Future-Proofing: While focused on fraud today, we are expanding our scope to handle comprehensive risk types in the US and

Canada, including Sanctions and AML (Anti-Money Laundering) How we work The team is distributed across Budapest and Austin.

We work closely with our US-based colleagues to understand the North American market and customer needs, with occasional travel to the US to foster in-person collaboration. What does it take? 4+ years of experience with Java, Kotlin, or other JVM-based languages, with deep knowledge of the Spring framework.

Obsession with Latency

You can design technical solutions that optimize for both throughput and speed. You understand what it takes to keep p99 end-to-end latency under 1 second for real-time risk & fraud checks, even when handling billions of transaction volumes.

Data & Distributed Systems

Deep understanding of JDBC, database internals, and query optimization. You have hands-on experience with Kafka, Kafka Streams, or Apache Flink to handle real-time event processing.

Infrastructure

Experience with CI/CD pipelines and designing scalable, resilient distributed systems.

Product & User Focus

You prioritize work with the customer in mind, using data to fix pain points (like false positives). You understand that risk checks happen every time a user touches the calculator, and you care about that UX.

Ownership

You take end-to-end ownership of your projects, from the initial idea to monitoring it in production.

Communication

You can articulate complex technical concepts to non-technical audiences.

Cross-Functional collaboration experience

You are comfortable working daily with Data Scientists to put models into production and with Data Analysts to refine rule sets. It is even better if You have ML Fluency: Since we deploy models for Instant ACH and transaction monitoring, familiarity with machine learning basics: data pipelines, feature engineering, precision/recall.

Data Lake Experience

Experience with OLAP databases or data lakes (like Apache Iceberg) with Kafka ingestion is an advantage. What does success look like?

Impact on Financial Crime

You will understand the specific fraud vectors and how your code directly prevents financial loss while keeping good customers happy.

Scaling for the Future

You’ll help raise the automation level of our platform, preparing our systems to handle new risk types in the US and Canada, such as Sanctions screening and AML (Anti-Money Laundering) and other controls.

Operational Excellence

You’ll contribute to a culture of "you build it, you run it," ensuring our real-time monitoring systems are robust and reliable for the North American market.

Global Collaboration

You’ll find your place by building strong relationships with the wider engineering tribe and our US stakeholders, understanding the "why" behind every feature we build.