• 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.
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