Senior Java Full Stack Developer

• Strong experience with Java 8+, Spring Framework, Spring Boot, Hibernate, Maven, REST APIs, JSON, Microservices Architecture, and Object-Oriented Design principles.
• Experience designing, developing, testing, deploying, and supporting scalable, secure, and maintainable enterprise applications throughout the Software Development Life Cycle (SDLC).
• Proficiency with ReactJS, including React Hooks, Redux, React Router, component lifecycle management, state management, and modern front-end development practices, along with strong JavaScript skills including DOM manipulation and asynchronous programming.
• Experience working with relational databases such as Oracle, PostgreSQL, MySQL, or SQL Server, including schema design, data modeling, normalization, SQL development, and query optimization.
• Experience developing and consuming RESTful web services and integrating applications with internal and external systems.
• Experience working with AWS cloud services, cloud-native application development, containerized environments, and modern software deployment practices.
• Experience using source control, CI/CD, and software lifecycle management tools such as Git, GitHub, GitLab, Bitbucket, Azure DevOps, Jenkins, or similar platforms.
• Experience working in Agile/Scrum environments, collaborating with cross-functional teams, and participating in sprint planning, backlog refinement, standups, reviews, and retrospectives.
• Strong analytical, critical thinking, and problem-solving skills, with the ability to troubleshoot complex technical challenges and develop effective solutions.

Nice To Have:

• Experience with Docker, Kubernetes, Terraform, or Infrastructure-as-Code technologies.
• Knowledge of DevSecOps, automated testing frameworks, application performance monitoring, and observability tools.
• Hands-on experience using AI-powered software engineering tools such as GitHub Copilot, Amazon Q Developer, Cursor, Claude, Gemini, or similar platforms to improve development productivity, code quality, testing, troubleshooting, and documentation.
• Experience supporting federal, healthcare, financial, or other highly regulated environments.
• AWS, Java, Spring, Kubernetes, Scrum, or cloud-related certifications.
• Experience developing AI-enabled applications, integrating LLMs, RAG architectures, AI Agents, conversational AI solutions, or intelligent automation capabilities.
• Understanding of Responsible AI, AI governance, cybersecurity, data privacy, secure coding practices, and the appropriate use of AI technologies within enterprise or government environments.