Software Engineer Java Backend

The team mission
The team mission is to develop & maintain the APIs, the platforms and the financial services for professional and institutional partners.
About the Role
We are looking for a Software Engineer who combines strong software engineering skills with a product mindset to build powered solutions for our customers and employee.
You will design, develop, and deploy AI-native and non-AI-native applications, owning the full lifecycle from backend services and model integration to user experience and performance monitoring. Working closely with Product Owner, Product Strategy and Sales Business teams, you will help transform our legacy solutions through practical and reliable inhouse AI solutions.
Responsibilities
Build and maintain AI and non-AI generated-code applications using coding agents such as ClaudeCode
Collaborate across all stages of software development, from ideation to deployment, working closely with diverse teams
Contribute significantly to the technical choices, conduct code reviews and perform testing
Ensure high standards of code quality and continuously improve best practices
Work closely with product owners to architect qualitative solutions and to enhance product functionality & user experience.
Provide support on the applications maintained by the team to guarantee client's satisfaction
Participate in or drive complex projects with minimal oversight, delivering features iteratively
Ensure solutions meet security, compliance, and governance requirements expected in a regulated financial environment.
Enthusiastic about joining a challenging and innovative environment, you are passionate about information technologies and you thrive on learning. You are a highly motivated developer, able to propose creative solutions to complex problems.
Your skills set :
Experience developing production-grade software applications.
Strong programming skills in Java and modern software development frameworks.
Knowledge of scalable software architectures including microservices, APIs (REST, GraphQL), container deployments (Docker, Kubernetes), and messaging systems (RabbitMQ)
Knowledge of source control system such as Git
Knowledge of Linux, Docker, Jenkins, Tomcat and Databases (Oracle, PostgreSQL, Redis)
Knowledge of test-driven development: Jbehave, TestNG, selenium, etc.
Familiar or willing to work with event-driven architectures
Solid analytical and problem-solving abilities.
Hands-on experience with LLMs, prompt engineering, and AI application development through spec driven development is strongly recommended.
Strong problem-solving skills and product-oriented thinking.
Experience in banking, financial services, or fintech is a plus.
Fluent in English, French is an asset.

Employment type
Full-time

Work arrangement
Hybrid