Backend Engineer - NorthAm

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.

For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

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