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.