VistalTech Inc
Senior Java Software Engineer
Senior full-stack Java engineer who designs, builds, and maintains scalable enterprise applications using Java, Spring Boot, and React.js, including RESTful APIs and microservices. Works in Agile teams, supports offshore developers, and contributes to AI chatbot and RAG/LLM initiatives with cloud (AWS/Azure/GCP) and Docker/Kubernetes deployments.
- Compensation
- Not disclosed
- Location
- Miami, United States
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 8+ years of full stack application development experience with Java, Spring Boot, React.js
- Strong hands-on Java application development using Spring Boot
- Full-stack development experience with React.js, Redux, JavaScript, HTML5, and CSS3
- Experience designing, developing, and integrating RESTful APIs and microservices
- Strong understanding of software development best practices, debugging, troubleshooting, and performance tuning
- Experience with unit testing frameworks and code quality standards
- Hands-on experience with Git, CI/CD pipelines, and DevOps practices
- Experience working within Agile/Scrum delivery environments
- Ability to analyze requirements, design technical solutions, and work independently
- Strong communication and collaboration skills with onsite and offshore teams
- Experience implementing AI Chatbots and Retrieval-Augmented Generation (RAG) solutions
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
- Knowledge of Docker, Kubernetes, and containerized application deployments
- Experience mentoring developers and leading technical discussions
Nice to have
- Exposure to Generative AI technologies and LLM integrations
Full description
Summary:
Seeking a Full Stack Java Developer, who will be responsible for making an impact by designing, developing, and delivering scalable enterprise applications using Java, Spring Boot, and React.js technologies. The successful candidate will be a valued member of the application development team and work collaboratively with architects, product owners, business stakeholders, and distributed delivery teams to build high-quality digital solutions.
Responsibilities:
- Design, develop, and maintain full-stack enterprise applications using Java, Spring Boot, React.js, and related technologies.
- Build, enhance, and integrate RESTful APIs and microservices that support business-critical applications.
- Perform hands-on coding, debugging, testing, code reviews, and application performance optimization.
- Provide technical guidance to offshore development teams by resolving technical challenges and supporting successful delivery.
- Analyze business requirements and translate them into scalable and maintainable technical solutions.
- Participate in Agile ceremonies and contribute to continuous improvement initiatives.
- Follow best practices for code quality, security, testing, and software development lifecycle processes.
- Contribute to AI chatbot and Retrieval-Augmented Generation (RAG) initiatives when applicable.
Experience:
- 8+ years of experience in full stack application development with strong hands-on expertise in Java, Spring Boot, React.js, and enterprise application development.
- Strong hands-on experience in Java application development using Spring Boot.
- Proven experience developing full-stack applications with React.js, Redux, JavaScript, HTML5, and CSS3.
- Experience designing, developing, and integrating RESTful APIs and microservices.
- Strong understanding of software development best practices, debugging, troubleshooting, and performance tuning.
- Experience with unit testing frameworks and code quality standards.
- Hands-on experience with Git, CI/CD pipelines, and DevOps practices.
- Experience working within Agile/Scrum delivery environments.
- Ability to analyze requirements, design technical solutions, and work independently.
- Strong communication and collaboration skills with onsite and offshore teams.
- Experience implementing AI Chatbots and Retrieval-Augmented Generation (RAG) solutions.
- Exposure to Generative AI technologies and Large Language Model (LLM) integrations.