Backend Engineer - Feature Platform
- Tackling complex technical challenges focused on scalability, reliability, and speed
- Maintaining a high-performance infrastructure that processes millions of events with low latency
- Collaborating with Data Scientists and Engineers to design and implement cutting-edge feature topologies
- Driving platform adoption by partnering with teams across Wise to centralize existing risk logic and expand self-service capabilities
- Java 11+ knowledge, fluent in Java 21+
- Familiarity with Python or willingness to learn on the job
- Experience with batch or stream processing, preferably Apache Spark and Flink/Kafka streams
- Familiarity with SQL and no-SQL (document) databases
- Experience with complex systems distributed across several microservices, Kafka, scattered data and ownership
- Hands-on knowledge of system integration patterns
- Strong product mindset and passion for user experience
- Strong problem-solving skills
- High level of ownership including identifying impactful problems and implementing solutions end-to-end
- Data engineering background such as experience with large-scale data pipelines, feature engineering and serving infrastructure
- Familiarity with graph algorithms and/or embedding techniques
- Awareness of data governance practices
- Experience with Apache Iceberg and/or Trino
- Experience with graph databases like Amazon Neptune