Description

Key Responsibilities

• Design, develop, test, and maintain scalable applications using Java, Spring Boot, and microservices architecture.
• Develop and deploy cloud-native applications using Microsoft Azure services.
• Build and integrate RESTful APIs and backend services.
• Work with Azure services such as Azure App Service, Azure Functions, Azure Kubernetes Service (AKS), Azure Storage, and Azure SQL.
• Integrate AI capabilities into applications using Azure OpenAI Service, generative AI, and large language models (LLMs).
• Develop AI-powered solutions such as intelligent chatbots, document processing, and automated workflows.
• Collaborate with cross-functional teams to understand business requirements and deliver technical solutions.
• Implement application security, performance optimization, monitoring, and troubleshooting.
• Participate in code reviews, unit testing, CI/CD pipelines, and Agile development processes.

Required Skills

• Strong proficiency in Java, Spring Boot, and object-oriented programming.
• Hands-on experience developing microservices and REST APIs.
• Experience with Microsoft Azure cloud services and application deployment.
• Knowledge of databases such as SQL Server, PostgreSQL, or MySQL.
• Experience with Git, Maven/Gradle, Docker, and CI/CD tools.
• Understanding of cloud security, scalability, and distributed systems.
• Experience integrating AI/ML services or generative AI capabilities into applications.
• Familiarity with Azure OpenAI, LLMs, prompt engineering, and AI-powered APIs.

Preferred Qualifications

• Experience with Azure Kubernetes Service (AKS) and infrastructure automation.
• Knowledge of Python for AI-related integrations.
• Experience with Retrieval-Augmented Generation (RAG), vector databases, and embeddings.
• Familiarity with Azure AI Search and responsible AI practices.
• Knowledge of monitoring tools and application performance management.
• Experience working in Agile/Scrum environments

Key Skills

Education

Any Gradute