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JAVA FULL STACK Developer

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Onsite

JAVA FULL STACK Developer

Tekshapers Software Solutions

JAVA FULL STACK Developer

Skills

SQL QueriesDockerReactPythonJavaMicroservicesSpring BootPostgreSQLAIAWSKubernetes

4 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

16 October 2026

What they need


Job Description: Java Full Stack Developer AI & AWS

Job Summary

We are looking for an experienced Java Full Stack Developer with strong hands-on expertise in Java, Spring Boot, Microservices, AWS, AWS CDK, PostgreSQL, and AI/Generative AI integration. The candidate will be responsible for developing scalable full-stack applications, integrating AI capabilities, and deploying cloud-native solutions.

Must-Have Skills

  • Strong hands-on experience in Java and Spring Boot.
  • Expertise in Microservices architecture and REST API development.
  • Full-stack development experience with React or Angular.
  • Hands-on experience with AWS cloud services.
  • Strong experience in AWS CDK (Cloud Development Kit) and Infrastructure as Code (IaC).
  • Experience with PostgreSQL and SQL query optimization.
  • Hands-on experience integrating AI/Generative AI or LLM-based capabilities into applications.
  • Proficiency in Git, unit testing, debugging, and CI/CD pipelines.

Key Responsibilities

  • Design, develop, and maintain scalable applications using Java, Spring Boot, and Microservices.
  • Build responsive frontend applications using React or Angular.
  • Develop and integrate REST APIs and backend services.
  • Design and optimize PostgreSQL database schemas and SQL queries.
  • Provision and manage AWS infrastructure using AWS CDK.
  • Deploy, monitor, and maintain cloud-native applications.
  • Integrate AI/GenAI capabilities and LLM APIs into enterprise applications.
  • Implement testing, troubleshooting, code reviews, and performance optimization.
  • Collaborate with cross-functional teams and follow Agile development practices.

Good-to-Have Skills

  • RAG (Retrieval-Augmented Generation).
  • LangChain, LangGraph, or AI Agents.
  • OpenAI APIs or Amazon Bedrock.
  • Python for AI integration.
  • Docker, Kubernetes, and serverless architecture.

Note: Experience range, location, and the specific AI technology stack should be confirmed with the hiring team.

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