Senior Java Software Engineer

Job Title : Full Stack Developer

Experience : 8+ Years

Start Date : Immediate

About the Role

We are looking for an experienced Full Stack Developer with strong proficiency in Java and Node.js , and hands-on experience leveraging AI-assisted coding tools such as Claude, Amazon Q, or GitHub Copilot. The ideal candidate will have a solid background in cloud technologies, microservices architecture, and DevOps , and a passion for building scalable, high-performance enterprise systems.

Key Responsibilities

Design, build, and maintain robust full-stack applications using Java (Spring Boot) and Node.js (Express.js or Nest.js) .

Collaborate with product and engineering teams to define technical requirements and deliver innovative solutions.

Integrate AI-powered development tools to boost productivity, enhance code quality, and automate repetitive tasks.

Build and manage CI / CD pipelines using tools like Jenkins, GitHub Actions, AWS CodePipeline, or GitLab CI .

Deploy and manage applications on AWS or Oracle Cloud (OCI) environments.

Develop and optimize RESTful and GraphQL APIs for performance and scalability.

Implement responsive and interactive user interfaces using React.js, Angular, or Vue.js .

Ensure code quality through automated testing , peer reviews , and AI-driven linting .

Monitor, debug, and resolve production issues while improving overall system reliability.

Keep up with emerging trends in AI-assisted software development and contribute to technical best practices.

Required Skills

Backend : Java (Spring Boot), Node.js, TypeScript / JavaScript

Frontend : React.js, Angular, or Vue.js

Databases : MySQL, PostgreSQL, MongoDB

Cloud & DevOps : AWS, Docker, Kubernetes, Terraform (optional), CI / CD tools

AI Development Tools : Claude, Amazon Q, GitHub Copilot, ChatGPT, or similar

Architecture : Microservices, Event-driven systems, RESTful APIs

Testing Frameworks : JUnit, Playwright, REST Assured, Pact

Version Control : Git (GitHub / GitLab)

Preferred Qualifications

Experience using AI-assisted development or prompt engineering in real-world projects.

Exposure to serverless architectures (AWS Lambda, GCP Cloud Functions).

Knowledge of API gateway management and security best practices .

Strong analytical, problem-solving, and debugging skills.

Excellent communication, collaboration, and documentation abilities.