Title: Full Stack Developer (JAVA +Springboot + Angular + AI)
Location: Montreal, QC - Hybrid (4 Days WFO)
Contract: 12 months
Role Descriptions:
Key Responsibilities 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
Front end 6 to 8+ years of hands on experience with Angular (Angular 10+)| TypeScript| HTML| CSS.
Strong understanding of state management| reusable components| and responsive design.
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 / Kubernetes.
Working knowledge of CI/CD tools (Jenkins| Git| Azure DevOps| etc.).Security
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.
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