Java Spring Boot Developer (SQL, AI Code Generation)

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 CodeWhisperer, 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 Qualifications

3 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 (Docker, Kubernetes).
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 AI/ML concepts and their application in software development.
Contributions to open-source projects or a portfolio demonstrating AI tool us