Hathiant

Compensation

Full Description

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.