Senior Java Engineer

Join Faktion, a leader in designing and developing enterprise-level AI solutions across various sectors. We are at the forefront of machine learning and artificial intelligence, creating innovative solutions that drive the future.
We are looking for a Senior Java Engineer to join our dynamic team, provide technical leadership. As we are building enterprise-grade, production-deployed applications, we are looking for an experienced engineer who can guide the development of robust, secure, and scalable backend systems while mentoring team members.

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  Lead the design, development, and deployment of high-quality software architecture for complex, scalable backend applications built on Java and the Spring ecosystem.

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  Collaborate closely with AI and ML engineers, Product Managers, and Business Stakeholders to translate complex requirements into efficient, high-quality software solutions.

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  Contribute to and help define maintenance standards across projects ranging from new applications and functionalities to complex cross-project developments.

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  You know how to test your software using JUnit, Mockito, ... You have experience setting up automated integration tests using Postman or other libraries

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  Lead code reviews, provide constructive feedback, and ensure code quality, maintainability, and scalability.

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  Ensure comprehensive documentation of architectural decisions, development phases, and system designs; contribute to system monitoring, performance optimization, and incident resolution.

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  Coach and mentor junior developers, fostering a culture of technical excellence, collaboration, and continuous improvement.

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  Drive technical innovation, evaluate and recommend new technologies, and promote best practices within the engineering team.

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  Excellent written and verbal communication skills in native Dutch and English (French is a plus).

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  BSc/BA in Computer Science, Engineering, or a related field (MSc is a plus).

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  Minimum 8 years of hands-on experience in Java backend development, with a proven track record delivering enterprise-grade applications.

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  Strong knowledge of Java and the pillars of OOP. You know when and how to apply concurrency. You are inspired by Robert C. Martin

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  Strong experience with RESTful API design and development, and with REST/SOAP services and XML/JSON integrations.

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  Proficiency with Maven and/or Gradle.

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  Solid understanding of application architecture patterns such as layered architecture, microservices, and event-driven systems.

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  Strong experience with the Spring ecosystem, including Spring Boot, Spring MVC, Spring Data, and Spring Security.

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  Good knowledge of Hibernate/JPA.

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  Experience deploying and managing applications on Azure and/or AWS, and with enterprise application servers such as JBoss, WildFly, WebSphere, or Oracle Middleware, and runtimes such as Tomcat.

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  Comfortable with application deployment, configuration, and runtime behaviour in production environments.

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  Experience with API-driven integrations and messaging patterns, and a solid understanding of distributed and event-driven architectures.

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  Strong grasp of testing principles and practices, with experience establishing comprehensive testing strategies (unit, integration, end-to-end).

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  Exceptional analytical mind with strong problem-solving aptitude and the ability to tackle complex technical challenges and make sound architectural decisions.

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  Experience with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) and containerization/orchestration technologies (e.g., Docker, Kubernetes).

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  Demonstrated ability to coach and mentor junior developers, fostering a collaborative and productive environment.

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  Excellent organizational and interpersonal skills.

• Familiarity with AI-assisted development tools such as GitHub Copilot.

• Basic understanding of AI/ML services and API integrations, and the ability to assess AI-generated solutions from a quality, security, and maintainability perspective.

• Hands-on experience with AI technologies, including integrating AI models into applications or working with AI-driven product features.

• Familiarity with data processing, MLOps, and machine learning concepts and workflows.

• Prior experience in software startups and corporate environments, providing balanced strategic insights.

• Active contributions to open-source projects or strong engagement with the tech community.