6 hours ago
Budapest, HungaryMid Level
Responsibilities
- Design and build low-latency backend systems for real-time risk and fraud decisions.
- Optimize throughput, speed, database queries, and p99 end-to-end latency under one second.
- Develop scalable and resilient distributed systems and real-time event-processing workflows.
- Own projects end to end, including production monitoring and operational reliability.
- Work with Data Scientists to deploy models and with Data Analysts to refine rules and reduce false positives.
- Support risk capabilities including Instant ACH, fraud prevention, sanctions screening, and AML controls.
Requirements
- 4+ years of experience with Java, Kotlin, or other JVM-based languages.
- Deep knowledge of the Spring framework.
- Strong understanding of JDBC, database internals, and query optimization.
- Hands-on experience with Kafka, Kafka Streams, or Apache Flink.
- Experience with CI/CD pipelines and scalable, resilient distributed systems.
- Ability to collaborate cross-functionally and explain complex technical concepts to non-technical audiences.
- Familiarity with machine learning basics, data pipelines, feature engineering, and precision/recall is preferred.
- Experience with OLAP databases or data lakes such as Apache Iceberg is preferred.
Benefits
- Monthly compensation of HUF 1300000–HUF 1700000.
- Distributed team working across Budapest and Austin, with occasional travel to the US.
- Inclusive, international, and collaborative work environment.
Tech Stack
Categories
About Wise
Wise builds a cross-border payments and multi-currency account used by individuals and businesses to send, receive, hold, and spend money in 40+ currencies. Revenue comes from transfer and account fees, card interchange, and enterprise partnerships via Wise Platform, which lets banks and large companies embed its international payments. Founded in 2011 as TransferWise, Wise is a London-headquartered public company.