Java Full Stack Developer
- Metrix IT Solutions INC.
5 Hours Ago
NA
Yearly
Los Angeles-CA, Mason-OH
15-20 Years
Required Skills: Java 11, Java 17, Java 21, Spring Boot, Spring MVC, Spring Security, Microservices Architecture, REST APIs, SOAP Services, Angular 11+, Angular 19, ReactJS, TypeScript, HTML5, CSS3, Azure, AWS, SQL Server, Oracle, MySQL, MongoDB, GIT, Maven, Jenkins, JUnit, Mockito, Agile, Scrum
Job Description
Java Full Stack Developer/Architect with AI
Required Skills
Java 11/17/21
Spring Boot, Spring MVC, Spring Security
Microservices Architecture
REST APIs, SOAP Services
Angular (11+/19), ReactJS, TypeScript, HTML5, CSS3
Azure/AWS Cloud Platforms
SQL Server, Oracle, MySQL, MongoDB
Git, Maven, Jenkins
JUnit, Mockito
Agile/Scrum
Java 11/17/21
Spring Boot, Spring MVC, Spring Security
Microservices Architecture
REST APIs, SOAP Services
Angular (11+/19), ReactJS, TypeScript, HTML5, CSS3
Azure/AWS Cloud Platforms
SQL Server, Oracle, MySQL, MongoDB
Git, Maven, Jenkins
JUnit, Mockito
Agile/Scrum
Preferred Skills
OpenAI/LLM Integration
Spring AI, LangChain4j
RAG (Retrieval-Augmented Generation)
Prompt Engineering
AI-powered Microservices
Kafka
Docker/Kubernetes
GraphQL
OpenAI/LLM Integration
Spring AI, LangChain4j
RAG (Retrieval-Augmented Generation)
Prompt Engineering
AI-powered Microservices
Kafka
Docker/Kubernetes
GraphQL
Responsibilities
Design, develop, and maintain enterprise-grade Java applications using Spring Boot and Microservices.
Build and consume RESTful APIs and integrate third-party services.
Develop responsive user interfaces using Angular and TypeScript.
Design and implement cloud-native solutions on Azure and AWS.
Integrate AI/LLM capabilities using OpenAI, Spring AI, and LangChain frameworks.
Implement RAG-based solutions and prompt engineering techniques to improve AI application performance
Collaborate with cross-functional teams in Agile environments.
Develop unit and integration tests and ensure code quality through best practices
Design, develop, and maintain enterprise-grade Java applications using Spring Boot and Microservices.
Build and consume RESTful APIs and integrate third-party services.
Develop responsive user interfaces using Angular and TypeScript.
Design and implement cloud-native solutions on Azure and AWS.
Integrate AI/LLM capabilities using OpenAI, Spring AI, and LangChain frameworks.
Implement RAG-based solutions and prompt engineering techniques to improve AI application performance
Collaborate with cross-functional teams in Agile environments.
Develop unit and integration tests and ensure code quality through best practices
Qualifications
Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
10+ years of hands-on Java/J2EE development experience.
Strong experience in Spring ecosystem, Angular, databases, and cloud technologies.
Experience delivering AI-enabled enterprise
Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
10+ years of hands-on Java/J2EE development experience.
Strong experience in Spring ecosystem, Angular, databases, and cloud technologies.
Experience delivering AI-enabled enterprise
