What you'll do
As a Junior Software Engineer, you will work at the forefront of modern software development, contributing to distributed systems running inside Kubernetes. Youâll leverage the latest Java 17 to develop and enhance applications, primarily using Spring Boot, and gain hands-on experience with cutting-edge technologies such as Apache Spark for big data processing, RabbitMQ for messaging, and ClickHouse for high-performance database management. Additionally, youâll be instrumental in migration projects, designing and implementing converters to transition legacy meta models to our platformâs new architecture.Â
This role offers a unique opportunity to tackle complex challenges and grow your expertise in scalable, high-performance systems:Â
This role offers a unique opportunity to tackle complex challenges and grow your expertise in scalable, high-performance systems:Â
- Integrate the development teamÂ
- Participate in product improvement tasksÂ
- Analyze and specify new functionalities, modules or applications based on an expression of needÂ
- Write analysis documents (functional, ergonomic and technical)
- Develop these new functionalities, modules or applicationsÂ
- Improve existing functionalities (ergonomics, performance, etc.)Â
- Test these developments (unit, integration, ramp-up and non-regression tests)Â
- Review and test the developments of other team membersÂ
- Participate in a continuous improvement process and in the life of an agile team (sprints, ceremonies, activities).
- Databases: Expertise in managing and optimizing high-performance databases such as ClickHouse, alongside experience with NoSQL and SQL solutions.
- Programming Languages: Strong proficiency in Java 17, particularly with Spring Boot, to build and maintain scalable applications, and experience with C# for integration tasks.
- Cloud Infrastructure: Practical experience working with Kubernetes to manage distributed systems and orchestrate containerized applications efficiently.
- Advanced Tools: Hands-on experience with Apache Spark for big data processing and RabbitMQ for efficient messaging systems.
- Migration Expertise: Ability to design and implement solutions for complex migration projects, such as converting legacy meta models to modernized platform architectures.