Senior Java Full Stack Developer

About the Role :

We are looking for an experienced Senior Java Full Stack Developer with expertise in Java, Angular, AWS, and Generative AI to build scalable enterprise applications and AI-powered solutions.

The ideal candidate will have strong backend development experience, modern frontend expertise, and hands-on implementation experience with LLMs, AWS AI services, and cloud-native architectures.

Key Responsibilities :

- Design, develop, and maintain scalable enterprise applications using Core Java, J2EE, Spring Boot, and Angular.

- Build responsive front-end applications using Angular and modern JavaScript frameworks.

- Develop and integrate RESTful APIs and microservices for distributed applications.

- Design and implement Generative AI solutions using AWS AI services and LLM frameworks.

- Build intelligent applications leveraging Amazon Bedrock, SageMaker, AgentCore, Lambda, API Gateway, and S3.

- Develop Retrieval-Augmented Generation (RAG) applications using frameworks such as LangChain and LlamaIndex.

- Optimize database performance using Oracle/SQL Server and advanced PL/SQL.

- Deploy and manage cloud-native applications on AWS using container platforms and infrastructure-as-code.

- Implement CI/CD pipelines and DevOps best practices for automated deployments.

- Collaborate with product managers, architects, and cross-functional teams to deliver high-quality software.

- Participate in architecture discussions, code reviews, and technical mentoring.

Required Skills & Experience :

1. Backend Development :

- 78+ years of experience in Core Java/J2EE development.

- Strong experience with Spring Boot and RESTful Web Services.

- Experience in Python-based application development.

- Strong understanding of Microservices Architecture.

2. Frontend Development :

- Hands-on experience with Angular.

- Good understanding of JavaScript, AngularJS, and Node.js.

3. Generative AI & LLMs :

- Minimum 5+ years of experience working with Generative AI technologies.

- Hands-on experience with :

1. Amazon Bedrock

2. Amazon SageMaker

3. AWS AgentCore

4. AWS Lambda

5. API Gateway

6. Amazon S3

- Practical implementation of :

1. Large Language Models (LLMs)

2. LangChain

3. LlamaIndex

4. Retrieval-Augmented Generation (RAG) architectures

5. AI-powered enterprise applications

4. Cloud & DevOps :

- Strong experience with AWS Cloud.

- Experience with Amazon ECS or container platforms.

- Experience using Terraform for Infrastructure as Code.

- Hands-on experience with CI/CD pipelines and DevOps tools.

5. Database :

- Excellent knowledge of Oracle 11g or Microsoft SQL Server.

- Strong expertise in RDBMS concepts and PL/SQL.

6. Additional Skills :

- Strong understanding of distributed systems and high-traffic web services.

- Experience designing scalable REST API frameworks.

- Excellent debugging, analytical, and problem-solving skills.

- Strong communication and stakeholder management skills.

Preferred Qualifications :

- Experience building enterprise AI solutions on AWS.

- Exposure to cloud-native architecture and container orchestration.

- Experience with modern software engineering best practices.

- Knowledge of Agile/Scrum development methodologies.

Mandatory Requirements :

- 7+ years of experience in Core Java development.

- 5+ years of hands-on experience in Generative AI/LLM-based application development.

- Strong expertise in Angular.

- Hands-on experience with AWS AI services, Terraform, and REST APIs.

- Experience with Oracle/SQL Server and PL/SQL.

- Willingness to work from Hyderabad, Noida, or Gurugram