Java Full Stack Developer

Title: Java Full Stack Developer

Location: Remote

Duration: Long term

Client: HHS

Experience: 10+ Years

MOI: Virtual

Job Description Summary

We are seeking a Java Full Stack Developer with 10 years of experience to support the design, development, testing, and maintenance of modern enterprise applications for the GrantSolutions platform. The ideal candidate will have experience developing full-stack solutions using Java, Spring Boot, ReactJS, REST APIs, microservices, relational databases, and cloud technologies.

The Java Full Stack Developer will collaborate with developers, architects, DevOps engineers, Product Owners, Scrum teams, business stakeholders, and Federal partners to deliver secure, scalable, and high-quality solutions supporting mission-critical applications and modernization initiatives. The successful candidate will participate across the full Software Development Life Cycle (SDLC), leveraging Agile methodologies, cloud-native technologies, CI/CD practices, and AI-assisted development tools to improve software quality, productivity, and delivery outcomes.

What You Will Do:

You will contribute to building secure, scalable, and user-centric enterprise applications using Java, Spring Boot, ReactJS, RESTful APIs, microservices, relational databases, and AWS cloud technologies. Working closely with cross-functional teams, including architects, developers, DevOps engineers, Product Owners and other business stakeholders, you will help deliver mission-critical solutions that support application modernization and business operations.

This role emphasizes strong software engineering fundamentals, full-stack application development, collaboration, continuous learning, and the delivery of high-quality solutions in an Agile environment. The successful candidate will leverage modern development practices, cloud-native technologies, DevSecOps principles, and AI-assisted development tools to accelerate software delivery, improve code quality, enhance testing and troubleshooting, and increase engineering productivity while adhering to security, compliance, and Responsible AI standards.

• Design, develop, test, deploy, and maintain full-stack enterprise applications using Java, Spring Boot, ReactJS, REST APIs, and microservices architectures.
• Develop responsive user interfaces and scalable backend services that support business processes, integrations, and mission-critical operations.
• Collaborate with architects, developers, business analysts, QA engineers, and stakeholders to translate business requirements into secure, scalable, and maintainable technical solutions.
• Develop, optimize, and support database schemas, SQL queries, data access layers, and integrations using relational databases such as Oracle and PostgreSQL.
• Troubleshoot and resolve application defects, performance bottlenecks, integration issues, and production incidents across the application stack.
• Participate in all phases of the Software Development Life Cycle (SDLC), including analysis, design, development, testing, deployment, and operational support.
• Support cloud deployments, application releases, CI/CD pipelines, DevSecOps initiatives, and automated testing practices.
• Create and maintain technical documentation, including solution designs, API specifications, deployment procedures, and operational support guides.
• Participate in Agile ceremonies, including sprint planning, backlog refinement, daily standups, sprint reviews, and retrospectives.
• Leverage AI-assisted development tools and emerging technologies to improve software quality, engineering productivity, testing, troubleshooting, documentation, and delivery outcomes.

What You Will Need:

It's an exciting, meaningful program with a great team over 200 people with diverse backgrounds and experiences. If you would like to join us, please read on. We expect a successful candidate has:

• Must be able to obtain and maintain a Federal or DoD "public trust"; candidates must obtain approved adjudication of their public trust prior to onboarding with Guidehouse. Candidates with an active public trust or suitability are preferred
• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related technical discipline; equivalent combination of education and experience may be considered.
• TEN (10) years of professional software development experience with both front-end and back-end application development.
• 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.

What Would Be 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.