Lead Full Stack Java Developer

About

The Child Support System Enhancement Effort aims to transform existing functionality from a legacy mainframe system into an enhanced, web-based platform. This transformation is a continuation of the current enhancement effort and will improve user experience by integrating with the existing web-based application in an Agile development environment.

Role

The Lead Full Stack Java Developer will lead the enhancement effort to build a user-friendly web-based platform. This role requires expertise in full-stack development, architecture design, and Agile collaboration. The Lead Developer will focus on improving efficiency and leveraging AI-powered development practices to deliver high-quality solutions.

Responsibilities

• Design and develop robust backend services using Java(8+ or higher), Spring Boot, and Spring Data JPA/Hibernate, alongside building responsive front-end interfaces with JavaScript, HTML5, CSS, and Bootstrap.
• Responsibilities include creating RESTful APIs, integrating external systems via SOAP/REST web services and messaging platforms, and using AI tools to accelerate development including code generation, code transformation, automated unit test creation, security vulnerability detection, and intelligent suggestions within IDEs.
• Additional duties include conducting unit and automated testing, supporting data migration to relational databases (DB2, PostgreSQL, Oracle), and contributing to CI/CD pipeline development.

Qualifications

• Strong experience in Java full-stack development, Spring Framework, and RESTful API design, combined with front-end proficiency in JavaScript, HTML5, CSS, and Bootstrap.
• Expertise in relational databases, writing SQL queries and stored procedures, and familiarity with testing frameworks (JUnit, Mockito, Selenium) is essential.
• Knowledge of DevOps practices including Git-based version control, CI/CD pipelines (Jenkins, GitHub Actions), and build tools(Maven/Gradle) is required.
• Secure coding practices and strong problem-solving, communication, and collaboration skills are critical for success.

Desired Experience

• Experience with agentic AI integration in the development lifecycle such as code generation, code transformation (COBOL to Java), test script generation, unit testing, security scanning, and use of AI-assisted IDE is highly desired.
• Additional expertise in applying agentic AI for tasks like intelligent code refactoring, and automated documentation will be a strong advantage.

Bonus Points

• Familiarity with message queues (JMS, RabbitMQ, Kafka), data migration strategies, and performance tuning will be a strong plus.