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 / JavaScriptFrontend : React.js, Angular, or Vue.jsDatabases : MySQL, PostgreSQL, MongoDBCloud & DevOps : AWS, Docker, Kubernetes, Terraform (optional), CI / CD toolsAI Development Tools : Claude, Amazon Q, GitHub Copilot, ChatGPT, or similarArchitecture : Microservices, Event-driven systems, RESTful APIsTesting Frameworks : JUnit, Playwright, REST Assured, PactVersion 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.