Java Fullstack Engineer

• Own the design, development, implementation, and support of assigned application areas.

• Develop and maintain full stack solutions using Java, Spring Boot, and Angular.

• Apply test automation and automated unit testing practices to improve solution quality.

• Build software with a security-first mindset and follow data privacy and security requirements.

• Develop, train, test, and validate machine learning models using established methods and tools.

• Select appropriate machine learning or deep learning approaches based on the problem and available data.

• Collaborate with analytics teams, developers, and subject matter experts to prepare and refine datasets for model development.

• Perform feature engineering and exploratory data analysis to support data quality and model readiness.

• Use AI tools to speed up coding, testing, analysis, and troubleshooting in day-to-day work while verifying outputs for accuracy and compliance.

Additional Job Responsibilities:

• Contribute to solution design discussions and technical implementation planning.

• Support efforts to improve application reliability, maintainability, and scalability.

• Partner with team members to identify opportunities for process and workflow improvements.

• Share knowledge and best practices with colleagues through reviews and collaboration.

• Assist in evaluating tools and technologies that support analytics and AI-enabled solutions.

  • Contribute to documentation for technical designs, implementations, and support processes.