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
Kafka
OpenAI/LLM Integration
Spring AI, LangChain4j
RAG (Retrieval-Augmented Generation)
Prompt Engineering
AI-powered Microservices
Kafka
Docker/Kubernetes
GraphQL
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.
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 applications.
Java Full Stack
Java Full Stack
AI/LLM Integration
Kafka | ReactJS | Microservices | Java API Management & Microservices | Spring Boot
8–10 Years
| Location | Woodland Hills, CA, CA |
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