AI-native Software Development Engineer

Let’s shape the future of finance - together At Isabel, we believe that real innovation happens when people and ideas connect That’s why we’re building more than technology, we’re building an ecosystem. One where every voice counts, and where your work can truly make a difference. We’re looking for curious minds and collaborative builders. People who believe success means growing together, learning from each other, and challenging the status quo. If that sounds like you, keep reading. We are looking for a Java Developer to join our Isabel 6 and Trust Services delivery department. The team plays a crucial role in developing and enhancing our IntelliTrust platform, our in-house real-time transaction monitoring system. This is a unique opportunity to work on high-impact, mission-critical systems where your code directly supports core banking operations and provides a trusted and secure platform to our customers. You'll be part of an initiative that's central to our 2026-2027 strategic roadmap, with visible executive sponsorship and clear business value. What You'll Be Working On: The Transaction Monitoring Enhancement Initiative You'll contribute to building advanced payment processing and analysis capabilities including: Real-time velocity detection : Monitoring transaction patterns to detect anomalies in frequency, amount, and behavior Behavioral profiling engine : Processing customer transaction profiles to identify statistical deviations and pattern changes AI/ML integration : Building data pipelines, feature engineering, and model integration for behavioral anomaly detection Time-series analysis : Implementing dispatcher architectures and time-series database integrations for high-frequency transaction monitoring Rule engine enhancements : Developing flexible, configurable analysis rules for amount deviations, pattern matching, beneficiary intelligence, and more Event-driven architectures : Building queue-based systems for real-time transaction processing Model deployment & monitoring : Implementing ML model serving infrastructure and monitoring model performance in production What you’ll do Development 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 that empower business analysts to create detection rules autonomously Integrate with AMQP-based message queues and external APIs Write clean, maintainable, testable code following Clean Code principles Apply BDD/TDD practices for comprehensive test coverage Participate in code reviews, ensuring high-quality standards across the team Contribute to technical design decisions and architecture discussions DevOps & Deployment Implement and maintain GitLab CI/CD pipelines for automated testing and deployment Manage Kubernetes deployments and container orchestration Deploy and manage applications across Dev, Acceptance, and Production environments Monitor application and model performance, troubleshoot production issues Implement logging, monitoring, and alerting for transaction monitoring systems Collaborate with infrastructure team on containerization and scalability Ensure code quality and security using Sonar, Fortify, and Mend Collaboration & Teamwork Work closely with business analysts and data scientists to understand monitoring requirements Collaborate with architects on solution design Partner with BI team on data availability and profiling requirements Participate actively in Agile ceremonies (daily standups, reviews, retrospectives) Share knowledge and mentor junior developers Communicate technical concepts to non-technical stakeholders Tech we use Primary language : Java Messaging : AMQP-based queuing systems Architecture : Microservices/monolith, event-driven, domain-driven design, hexagonal architecture Infrastructure : GitLab CI/CD, Kubernetes, OpenShift Data : Time-series databases, PostgreSQL, Oracle, ML data pipelines Testing : BDD/TDD practices, Postman, SoapUI, Gatling, RestAssured Quality & Security : Sonar, Mend Methodology : Agile Kanban What makes you a great fit Technical Foundation: +3 years of professional Java development experience AI Java developer with strong hands-on AI usage Strong knowledge of Spring and Java ecosystem Experience with RESTful APIs and microservices architecture Understanding of relational databases (PostgreSQL and/or Oracle experience) Messaging & Integration: AMQP (RabbitMQ, ActiveMQ, or similar message queue systems) Postman & Rest Assured for API testing and development Experience with message-driven architectures and asynchronous processing AI/ML Development Experience: Hands-on experience integrating AI/ML models into development activities Understanding of ML model lifecycle: training, validation, deployment, monitoring Experience with feature engineering and data preparation for ML models Familiarity with ML frameworks (scikit-learn, TensorFlow, PyTorch, or similar) Knowledge of model serving approaches (REST APIs, batch prediction, real-time inference) Experience working with data scientists to productionize ML prototypes Understanding of Python for ML integration (basic to intermediate level) Awareness of ML model performance metrics and monitoring techniques DevOps & Container Orchestration: Kubernetes for container orchestration and deployment Understanding of containerization concepts (Docker) Experience with CI/CD pipelines (GitLab CI, Jenkins, or similar) Experience with Linux environments and shell scripting Monitoring and logging tools experience (ELK stack, Prometheus, Grafana, or similar) Testing & Quality BDD/TDD practices Experience writing unit tests, integration tests, and acceptance tests Familiarity with testing frameworks (JUnit, Cucumber, Mockito, or similar) Code Quality Mindset: Strong advocate for Clean Code principles Understanding of SOLID principles and design patterns (hexagonal architecture) Experience with code review processes and static code analysis tools Commitment to writing self-documenting, maintainable code Soft Skills: Collaborative team player with excellent communication skills - fluent in English & Dutch or English & French Agile mindset: adaptable, iterative, customer-focused Proactive problem-solver who takes ownership Ability to work effectively with cross-functional teams (analysts, architects, data scientists, infrastructure) Comfortable working in a fast-paced environment with evolving requirements Willingness to learn and share knowledge Nice to Have - Additional Technical Skills: React for UI development Node.js for JavaScript-based services ForgeRock experience (identity and access management) SoapUI for SOAP service testing OIDC/OAuth2 implementation experience Jenkins for CI/CD pipelines Sonar, Fortify, Mend for code quality and security scanning AI/ML & Data: Experience with MLOps platforms (MLflow, Kubeflow, SageMaker, or similar) Knowledge of feature stores (Feast, Tecton, or similar) Experience with time-series databases (InfluxDB, TimescaleDB, Prometheus) Understanding of real-time ML inference optimization techniques Experience with A/B testing and model experimentation frameworks Familiarity with data streaming for ML (Kafka Streams, Flink) Experience with model monitoring and drift detection Knowledge of explainable AI (XAI) techniques Domain & Architecture: Experience with event-driven architectures and domain-driven design Experience with high-volume transaction processing systems Financial services or banking domain knowledge Why join us At Isabel, we offer more than a job, we offer a place to grow, contribute, and thrive. A human-sized Belgian company (250 people) where your ideas and impact matter 50% hybrid work, flexible hours, and autonomy to manage your time Coaching, training, and tailored development paths for every career stage A flat, collaborative structure with real ownership and cross-functional work Competitive rewards: Flex Income Plan, annual bonus, insurance, meal vouchers A strong engagement culture and inclusive mindset Easy mobility options: our MOBI strategy supports flexible, low-footprint commuting, whether by bike, public transport, or electric car Professional gatherings that encourage collaboration and networking, as well as fun and purposeful activities led by our BeFun team A certified Top Employer with 30 years of tech leadership and ambition Ready to join us? Your voice, your vision, and your impact all have a place here. Let’s shape smarter solutions and a stronger digital economy. Together.