Backend Engineer

Synerise provides an ever-evolving behavioral data platform enhanced by AI, serving over 30 markets including Retail, Banking, eCommerce, Automotive, Insurance, and Telco, processing more than 150 billion transactions annually. The company is also developing BaseModel, a foundation model for behavioral data within a platform for enterprise Data Science teams aiming at AI innovation.

• Programming skills in Scala or other JVM languages.
• Programming skills in Rust or willingness to learn.
• Solid understanding of Apache Kafka and Kubernetes.
• Experience with at least one of: Akka, ZIO, Cats.
• Experience with SQL and NoSQL databases.
• Hands-on experience using AI coding tools (e.g., Claude Code, Cursor, GitHub Copilot).
• Capacity to plan and scale systems effectively.
• Excellent troubleshooting and debugging skills.
• Passion for building tools and automating processes.
• Strong analytical skills.
• Solid understanding of JVM internals (GC, profiling, heap and thread dumps).
• Experience designing and operating microservices architectures.
• Hands-on experience in cloud environments (Azure and/or GCP), preferably with AKS.
• Working knowledge of Java or Python.
• Knowledge of ElasticSearch/Opensearch.
• Basic knowledge of AI/ML concepts.

Nice to have:

• Experience with Java.
• Experience with Python.
• Experience with Azure.
• Experience with GCP.

• Develop architecture and design patterns to process and store high volume data sets.
• Develop software with a core focus around optimisation and performance.
• Translate complex functional and technical requirements into detailed design.
• Perform analysis of vast data stores and uncover insights.