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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Development Engineer - **Company:** Isabel - **Location:** Brussel, Belgium - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Java (Programming Language), JavaScript (Programming Language), A/B Testing, Apache ActiveMQ, Agile Methodology, Artificial Intelligence, Advanced Message Queuing Protocol, Automation of Tests, Unit Testing, Static Program Analysis, Code Coverage, Software Quality, Code Review, Databases, Data Cleansing, Relational Databases, Software Design Patterns, DevOps, Design of User Interfaces, Monitoring of Systems, Identity and Access Management, Java Message Service (JMS), Junit, Python (Programming Language), PostgreSQL, Linux System Administration, Machine Learning, Node.Js, OAuth, OpenID, OpenShift, Oracle (Applications), Pattern Recognition, Performance Tuning, Queueing Systems, RabbitMQ, Mockito, Fortify (Software), Tensorflow, Prometheus, Rule Engine, Shell Script, Simple Object Access Protocol (SOAP), SoapUI, Software Engineering, SONAR (Symantec), Data Streaming, Systems Integration, Transaction Data, Data Logging, Transaction Processing (Computing), Feature Engineering, Postman, Pytorch, ReactJS, System Availability, Grafana, Gatling, ReadyAPI, Event Driven Architecture, Containerization, Gitlab-ci, Scikit Learn, Integration Tests, Solid Principles, Kubernetes, Influxdb, Apache Flink, Apache Kafka, Machine Learning Operations, Restful APIs, Cucumber (Software), Domain Driven Design, Data Pipelines, Api Management, Docker, Elk Stack, Jenkins, Vulnerability Analysis, Web Api, Microservices - **Published:** June 24, 2026 - **Apply:** https://be.indeed.com/viewjob?jk=1dff640d1802742c ## About the Role Do you have experience in UI development?, Do you have a Bachelor's degree?, * +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 ## Description 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 ## Related Videos - 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