Full Stack Developer (JAVA +Springboot + Angular + AI) (Montreal)
Title
Full Stack Developer (JAVA +Springboot + Angular + AI)
Location
Montreal, QC – Hybrid (4 Days WFO)
Contract
12 months
Role Description
Key responsibilities include designing, developing, and supporting 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 to enable faster and reliable releases. Apply secure coding practices, including authentication, authorization, and API security. Leverage AI/GenAI tools such as code assistants, test automation, log analysis, and 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 experience: 6 to 8+ years of hands‑on experience with Angular (Angular10+), TypeScript, HTML, CSS.
- Strong understanding of state management, reusable components, and responsive design.
- Back‑end experience: 6–8+ years of experience in Java, Spring Boot, and microservices architecture.
- Solid 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 such as Jenkins, Git, Azure DevOps, etc.
- Security: Experience with OAuth2.0, 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 such as code generation, refactoring, and 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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