Java Full Stack Specialist

Tata Consultancy Services; Gurugram District; On-site; INR 1,000,000 - 1,400,000; Full time

Job summary

Tata Consultancy Services is seeking a Java Spring Boot backend developer to build and connect microservices and REST APIs, with exposure to OpenAI or Azure OpenAI integrations. The role focuses on Java, Spring Boot, databases, Kafka, Docker, and AI-driven automation.

The engineer will work on backend services, secure APIs, and data stores, while embracing CI/CD workflows and Agile delivery to produce production-ready features.

Qualifications

• Develop backend services using Java, Spring Boot, Spring MVC, and Microservices.
• Create REST APIs that are secure, fast, and easy to integrate with frontend or third-party systems.
• Use Kafka for event-driven communication between services.
• Work with MySQL, PostgreSQL, MongoDB, Hibernate/JPA, and Redis.
• Integrate OpenAI/Azure OpenAI APIs into backend workflows.
• Build simple AI features and automation workflows.

Responsibilities

• Develop backend services with Java and Spring Boot to implement microservices architecture.
• Create secure, scalable REST APIs for frontend and third-party integration.
• Leverage Kafka for robust event-driven communication across services.

Skills

Java

Spring Boot

REST APIs

Kafka

Docker

Databases

CI/CD

Tools

MySQL

PostgreSQL

MongoDB

Hibernate/JPA

Redis

OpenAI API

Azure OpenAI

Job description

We need a Java Spring Boot backend developer who can build microservices, REST APIs, and also connect backend systems with AI/LLM APIs such as OpenAI or Azure OpenAI. The person should be comfortable with Java, Spring Boot, databases, Kafka, Docker, and basic AI integration for intelligent automation use cases.

• Develop backend services using Java, Spring Boot, Spring MVC, and Microservices.
• Create REST APIs that are secure, fast, and easy to integrate with frontend or third-party systems.
• Use Kafka for event-driven communication between services.
• Work with MySQL, PostgreSQL, MongoDB, Hibernate/JPA, and Redis.
• Integrate OpenAI/Azure OpenAI APIs into backend workflows.
• Build simple AI features such as query assistants, structured responses, and automation workflows.
• Use Docker and CI/CD tools for build and deployment support.
• Write clean code, participate in Agile delivery, and support production-ready features.