Azure Openai Engineer

Job Description We are seeking an experienced Senior Java Microservices Developer with 8+ years of hands-on experience in designing, developing, and supporting enterprise applications using Java and Microservices architecture. The ideal candidate will have strong expertise in Spring Boot, REST APIs, cloud-native development, and event-driven architectures. This role requires experience building scalable backend services, integrating enterprise applications, and working in Agile environments. Candidates with exposure to AI-powered applications and Large Language Model (LLM) integrations are highly preferred but not mandatory.

• 8+ years of experience in Java Application Development
• Strong hands-on experience with Java 8/11/17
• Experience with Spring Boot, Spring MVC, Spring Security, and Microservices architecture
• Strong experience designing and developing RESTful APIs and web services
• Hands-on experience with Apache Kafka or other messaging platforms
• Strong knowledge of Hibernate/JPA
• Experience with SQL databases such as Oracle, PostgreSQL, SQL Server, or MySQL
• Experience with AWS cloud services
• Hands-on experience with Docker and Kubernetes
• Experience with Git, Maven, Jenkins, and CI/CD pipelines
• Familiarity with Agile/Scrum development methodologies
• Strong analytical, troubleshooting, and communication skills

• Experience with Redis or MongoDB
• Exposure to OpenShift
• Experience with OpenAI, Azure OpenAI, Gemini, Claude, or similar AI services
• Knowledge of Prompt Engineering and Retrieval-Augmented Generation (RAG)
• Experience with Spring AI or LangChain4j
• Knowledge of OAuth2, JWT, and Single Sign-On (SSO)
• Experience with JUnit and Mockito
• Exposure to Azure or Google Cloud Platform

• Design, develop, and maintain scalable Microservices using Java and Spring Boot.
• Build secure, high-performance RESTful APIs for enterprise applications.
• Develop event-driven applications using Kafka and messaging technologies.
• Design and implement cloud-native applications on AWS.
• Containerize and deploy applications using Docker and Kubernetes.
• Collaborate with architects, business analysts, QA engineers, and DevOps teams throughout the software development lifecycle.
• Participate in technical design discussions, architecture reviews, and code reviews.
• Troubleshoot production issues and optimize application performance, scalability, and reliability.
• Develop and maintain CI/CD pipelines following DevOps best practices.
• Write clean, maintainable, and well-documented code following industry standards.
• Participate in Agile ceremonies including sprint planning, stand-ups, sprint reviews, and retrospectives.
• Stay current with emerging technologies and contribute to modern application development practices.

For applications and inquiries,