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.
Key responsibilities:
Lead the design, development, and deployment of high-quality software architecture for complex, scalable backend applications built on Java and the Spring ecosystem.
Collaborate closely with AI and ML engineers, Product Managers, and Business Stakeholders to translate complex requirements into efficient, high-quality software solutions.
Contribute to and help define maintenance standards across projects ranging from new applications and functionalities to complex cross-project developments.
You know how to test your software using JUnit, Mockito, ... You have experience setting up automated integration tests using Postman or other libraries
Lead code reviews, provide constructive feedback, and ensure code quality, maintainability, and scalability.
Ensure comprehensive documentation of architectural decisions, development phases, and system designs; contribute to system monitoring, performance optimization, and incident resolution.
Coach and mentor junior developers, fostering a culture of technical excellence, collaboration, and continuous improvement.
Drive technical innovation, evaluate and recommend new technologies, and promote best practices within the engineering team.
Excellent written and verbal communication skills in native Dutch and English (French is a plus).
BSc/BA in Computer Science, Engineering, or a related field (MSc is a plus).
Minimum 8 years of hands-on experience in Java backend development, with a proven track record delivering enterprise-grade applications.
Strong knowledge of Java and the pillars of OOP. You know when and how to apply concurrency. You are inspired by Robert C. Martin
Strong experience with RESTful API design and development, and with REST/SOAP services and XML/JSON integrations.
Proficiency with Maven and/or Gradle.
Solid understanding of application architecture patterns such as layered architecture, microservices, and event-driven systems.
Strong experience with the Spring ecosystem, including Spring Boot, Spring MVC, Spring Data, and Spring Security.
Good knowledge of Hibernate/JPA.
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.
Comfortable with application deployment, configuration, and runtime behaviour in production environments.
Experience with API-driven integrations and messaging patterns, and a solid understanding of distributed and event-driven architectures.
Strong grasp of testing principles and practices, with experience establishing comprehensive testing strategies (unit, integration, end-to-end).
Exceptional analytical mind with strong problem-solving aptitude and the ability to tackle complex technical challenges and make sound architectural decisions.
Experience with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) and containerization/orchestration technologies (e.g., Docker, Kubernetes).
Demonstrated ability to coach and mentor junior developers, fostering a collaborative and productive environment.
Excellent organizational and interpersonal skills.
Following experiences are a plus:
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.
We offer:
A rewarding salary package that includes additional perks like a company car and fuel card or a mobility budget, comprehensive hospitalization and group insurance, along with a top-tier laptop and smartphone.
Benefit from a company culture that stimulates both individual and team development, fostering your professional and leadership growth.
Utilize your innovation budget for engaging in exciting, educational, and challenging open-source projects within your guild.
Participate in team-building activities and gatherings, a great opportunity to unwind and engage with our vibrant team initiatives.
A flexible hybrid working policy to choose where, how, and when you want to work.
At Faktion we build AI, and we use it thoughtfully in our own processes too. During your application, AI tools may help us with practical steps, like checking that your documents came through complete. They never decide who moves forward: every application is read by a real person on our team, and every decision is made by a human. Curious how this works, or how your data is handled? Just ask, we're happy to explain.