AI-Native Java Engineer for Real-Time Finance

Isabel Group

Brussel Hoofdstad

Hybride

EUR 60 000 - 90 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Flex Income Plan
Annual bonus
Insurance
Meal vouchers
50% hybrid work

Résumé du poste

Isabel Group is seeking a Java Developer to join the Transaction Monitoring Enhancement Initiative. You will design and maintain Java-based microservices for real-time transaction monitoring, and integrate AI/ML models into production workflows, delivering high‑impact, secure financial solutions.

You will collaborate with data scientists and analysts, participate in Agile ceremonies, and contribute to scalable DevOps practices across Kubernetes, CI/CD, and cloud deployments.

Qualifications

  • 3+ years of professional Java development.
  • Strong knowledge of Spring and Java ecosystem.
  • Experience with RESTful APIs and microservices.

Responsabilités

  • Design, develop, and maintain Java-based microservices for transaction monitoring.
  • Implement real-time transaction processing capabilities with performance optimization.
  • Build and integrate AI/ML models into production transaction monitoring workflows.
  • Develop feature engineering pipelines to prepare transaction data for ML models.
  • Implement model serving infrastructure for real-time prediction and scoring.
  • Build configurable rule engines for detection rules.

Connaissances

Java development
Spring framework
REST APIs
Microservices
Kubernetes
CI/CD

Outils

PostgreSQL
Oracle
RabbitMQ
Docker
GitLab CI/CD
Kubernetes

Description du poste

Isabel Group is seeking a Java Developer to join the Transaction Monitoring Enhancement Initiative. You will design and maintain Java-based microservices for real-time transaction monitoring, and integrate AI/ML models into production workflows, delivering high‑impact, secure financial solutions.

You will collaborate with data scientists and analysts, participate in Agile ceremonies, and contribute to scalable DevOps practices across Kubernetes, CI/CD, and cloud deployments.

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