Java Spring Boot Developer

Java Spring Boot Developer
Toronto, ON - Hybrid (4 Days WFO)
12 months

• Role Descriptions: We are seeking a skilled Java Spring Boot Developer with robust SQL expertise and experience leveraging AI tools for code generation to join our dynamic engineering team. The ideal candidate will design
develop
and maintain scalable backend systems
optimize database performance
and harness AI-driven tools to enhance productivity and code quality.

• Key Responsibilities Design and implement RESTful APIs and microservices using Spring Boot

• .Develop and optimize complex SQL queries
stored procedures
and database schemas for high-performance applications.

• Utilize AI-powered code generation tools (e.g.
GitHub Copilot
Amazon Code Whisperer
or similar) to accelerate development while ensuring code reliability and adherence to best practices.

• Collaborate with cross-functional teams to integrate AI-generated code into existing systems
ensuring seamless functionality and maintainability.

• Troubleshoot and resolve application and database performance issues.

• Participate in code reviews
ensuring AI-generated code meets quality standards and aligns with project requirements.

• Stay updated on emerging AI tools and frameworks to continuously improve development workflows.

• Required Qualifications3 years of professional experience in Java and Spring Boot development.

• Strong proficiency in SQL (query optimization
indexing
transaction management) with experience in relational databases (e.g.
PostgreSQL
MySQL
SQL Server).Hands-on experience using AI code generation tools (e.g.
GitHub Copilot
ChatGPT for code
or similar) in a production environment.

• Familiarity with microservices architecture
REST APIs
and containerization (DockerKubernetes).Solid understanding of software engineering principles
design patterns
and version control (Git).Excellent problem-solving skills and ability to work independently and in agile teams.

• Preferred Qualifications Experience with cloud platforms (AWS
Azure
GCP) and DevOps practices.

• Knowledge of NoSQL databases (e.g.
MongoDB) or distributed SQL systems.

• Familiarity with AIML concepts and their application in software development.

• Contributions to open-source projects or a portfolio demonstrating AI tool usage.