Fullstack Developer

Location: Montreal, QC – Hybrid

Contract Role

Role Descriptions

• 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.
• 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

• 6‑8+ years of hands‑on experience with Angular (Angular 10+), TypeScript, HTML, CSS.
• Strong understanding of state management, reusable components, and responsive design.

Back‑End

• 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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