Java Full Stack Developer

Direct only - no agencies please

Local, permanent residents only

6 month contract that will likely be extended

We are looking for an experienced Full Stack Developer with strong expertise in Java, Spring Boot, Spring Batch, Relational DB, Graph DB and Spring Security. There are front-end responsibilities using React a smaller percentage of the time. The ideal candidate will have hands-on experience building enterprise-grade applications from “scratch” with SSO authentication, workflow/approval engines, and strong monitoring/logging capabilities using Splunk.

A key requirement is the ability to incorporate AI-assisted development tools within the IDE (such as GitHub Copilot, IntelliJ AI Assistant, or similar) to produce robust, high-quality code and validate implementation using AI-driven techniques.

Preferred Qualifications

• 10+ Years of Java full stack development experience
• Good to have Identity and access management business knowledge
• Experience with CI/CD pipelines (Jenkins, GitHub Actions, Bitbucket Pipelines).
• Knowledge of cloud environments (AWS, Azure, or Google Cloud Platform).
• Understanding of security best practices (API security, OWASP, secure code).
• Experience with Docker or containerized deployment environments.

Key Responsibilities

Backend Development

• Design, develop, and enhance backend services using Java and Spring Boot.
• Build, optimize, and secure Java-based APIs hosted on Apache Server.
• Work with Relational/Graph DB for schema design, query optimization, stored procedures, and performance tuning.
• Implement business logic for approval workflows using a workflow engine (e.g., Flowable, Activiti, or custom engine).

Frontend Development

• Develop and maintain responsive web applications using React.
• Implement SSO authentication flows (e.g., SAML, OAuth2, OpenID Connect).
• Integrate UI components with backend REST APIs and workflow services.
• Optimize UI performance, accessibility, and user experience.

DevOps, Monitoring & Support

• Use Splunk for log analysis, monitoring, alerting, and issue diagnosis.
• Perform performance tuning for both frontend and backend services.
• Collaborate with teams for deployments, configuration, and troubleshooting.

AI-Enabled Development

• Utilize AI coding assistants (IDE-integrated tools) to: 
• Generate high-quality code.
• Validate logic and detect code issues early.
• Improve unit test coverage using AI.
• Enhance productivity while adhering to secure coding standards.
• Continuously explore new AI development tools and best practices to strengthen code reliability and development workflows.