JAVA FULL STACK – CLOUD & GENAI

Vrinda International; Bengaluru; On-site; INR 1,170,000 - 1,430,000; Full time

Job summary

Vrinda International is seeking a highly skilled Java Full Stack / Cloud AI Developer to join our client’s team in Bengaluru. You will design cloud-native applications, implement GenAI capabilities, and build scalable microservices using Java and Spring Boot.

The role requires 6–9 years of experience, hands-on work with AWS/Azure, DevOps practices, and a strong track record delivering production-ready AI-enabled applications.

Qualifications

• We are looking for a highly skilled Java Full Stack / Cloud AI Developer with cloud-native app experience.
• Strong background in AI/GenAI solutions and modern microservices architecture.
• Experience with cloud deployment on AWS/Azure and scalable, production-ready apps.

Responsibilities

• Design and develop scalable cloud-native applications and AI platforms.
• Build and integrate GenAI, LLM and RAG-based solutions.
• Develop microservices using Java/Spring Boot.
• Integrate enterprise data sources with AI applications.
• Work with AWS/Azure services for deployment and scalability.
• Design production-ready architectures with security, performance and reliability in mind.
• Collaborate with cross-functional teams to deliver end-to-end solutions.

Skills

Java

Spring Boot

Microservices

AWS/Azure

GenAI

LLM

RAG

CI/CD

Git

DevOps

Job description

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Job Description

HIRING | JAVA FULL STACK – CLOUD & GENAI

Work Mode: Work From Office

Experience: 6–9 Years

CTC: Up to ₹13 LPA

Role: Application Developer – Cloud Full Stack

Level: Z3

Role Overview

We are looking for a highly skilled Java Full Stack / Cloud AI Developer with strong experience in cloud-native application development, AI/GenAI solutions, and modern microservices architecture.

Required Skills

• CI/CD, Git and DevOps practices
• Strong understanding of scalable, production-ready applications

Key Responsibilities

• Design and develop scalable cloud-native applications and AI platforms.
• Build and integrate GenAI, LLM and RAG-based solutions .
• Develop microservices using Java/Spring Boot.
• Integrate enterprise data sources with AI applications.
• Work with AWS/Azure services for deployment and scalability.
• Design production-ready architectures with security, performance and reliability in mind.
• Collaborate with cross-functional teams to deliver end-to-end solutions.