Java developer • la prairie qc
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Role Description:
· Design, develop, and support front end applications using Angular and backend services using Java & Spring Boot.
· Build and maintain scalable RESTful APIs and microservices for enterprise grade banking applications.
· Work closely with product owners, architects, and business stakeholders to deliver best in class digital solutions for RBC.
· Ensure high code quality through automated unit, integration, and functional testing.
· Implement and support CI/CD pipelines, enabling faster and reliable releases.
· Apply secure coding practices, including authentication, authorization, and API security.
· Leverage AI/GenAI tools (e.g., code assistants, test automation, log analysis, productivity accelerators) to improve development efficiency.
· Contribute to cloud native and containerized deployments.
· Actively participate in Agile/Scrum ceremonies and continuous improvement initiatives.
Required Qualifications
· Strong understanding of state management, reusable components, and responsive design.
· Front End: 6-8+ years of hands-on experience with Angular (Angular 10+), TypeScript, HTML, CSS.
· Back End: 6-8+ years of experience in Java, Spring Boot, and microservices architecture.
· Strong experience building RESTful APIs and backend services.
· Hands on experience with Kafka or other messaging systems.
· Solid experience with SQL databases (PostgreSQL / Oracle / MySQL).
· DevOps & Cloud Experience with Docker, OpenShift and Kubernetes.
· Working knowledge of CI/CD tools (Jenkins, Git, Azure DevOps, etc.).
· Experience with OAuth 2.0, OIDC, JWT, SSL/TLS, and enterprise API security standards.
· Familiarity with secure banking application development.AI / GenAI Expectations.
· Hands-on exposure to AI assisted development tools (e.g., code generation, refactoring, automated testing).
· Understanding of how GenAI can be applied to productivity optimization, quality improvement, and SDLC acceleration.
· Ability to work with teams adopting enterprise approved AI frameworks and governance models.
· Exposure to AI driven monitoring, analytics, or automation is a plus.
