Virtusa
Java Fullstack Development (AI Augmented)
Design, build, and maintain scalable enterprise Java applications on AWS or Azure, working with microservices, relational/NoSQL databases, and automated testing. The role explicitly integrates AI developer tools (GitHub Copilot, Claude, ChatGPT, Grok, Kiro) into daily coding, refactoring, and test workflows.
- Compensation
- Not disclosed
- Location
- Hyderabad; Chennai; Bengaluru
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Fullstack
- Posted
Skills
Must have
- 5+ years of professional backend software development experience with Java (Java 11/17/21) and enterprise frameworks
- Hands-on experience developing and hosting applications in AWS or Azure cloud environments
- Practical experience using generative AI / developer-assistant tools (GitHub Copilot, Claude, ChatGPT, Grok, or Kiro)
- Strong foundation in microservice patterns, relational/NoSQL databases, and automated testing (JUnit, Mockito)
Nice to have
- Certification: AWS Certified Developer/Solutions Architect or Azure Developer Associate
- Familiarity with containerization (Docker, Kubernetes) and infrastructure-as-code (Terraform, CloudFormation, Bicep)
- Exposure to prompt engineering, AI agents, or integrating LLM APIs into cloud microservices
Full description
We are seeking a Cloud Java Engineer to design, build, and maintain scalable enterprise applications on AWS or Azure. In this role, you will leverage enterprise Java architectures while actively integrating modern AI developer tools (such as Claude, Grok, GitHub Copilot, ChatGPT, or Kiro) into your daily workflow to accelerate prototyping, code refactoring, test automation, and problem-solving.
Core Qualifications
- Java/J2EE Expertise: 5+ years of professional backend software development experience with Java (Java 11/17/21) and enterprise frameworks.
- Cloud Architecture: Hands-on experience developing and hosting applications in AWS or Azure cloud environments.
- AI Tooling Fluency: Practical experience leveraging generative AI and developer-assistant tools (GitHub Copilot, Claude, ChatGPT, Grok, or Kiro) to boost engineering velocity and code quality.
- System Design & Testing: Strong foundation in microservice patterns, relational/NoSQL databases, and automated testing (JUnit, Mockito).
Preferred Qualifications
- Certifications: AWS Certified Developer/Solutions Architect or Azure Developer Associate.
- Familiarity with containerization (Docker, Kubernetes) and infrastructure-as-code (Terraform, CloudFormation, Bicep).
- Exposure to prompt engineering, AI agents, or integrating LLM APIs into cloud microservices.