Java Fullstack Development (AI Augmented)

Virtusa Corporation; Hyderabad, Chennai, Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Virtusa Corporation is seeking a Cloud Java Engineer to design, build, and maintain scalable enterprise applications on AWS or Azure. You will leverage enterprise Java architectures while integrating modern AI developer tools to accelerate prototyping, code refactoring, test automation, and problem-solving.

The role emphasizes microservice patterns, relational/noSQL databases, and automated testing with JUnit/Mockito, expecting 5+ years of backend Java experience and cloud hosting expertise.

Qualifications

• 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 leveraging generative AI and developer-assistant tools (GitHub Copilot, Claude, ChatGPT, Grok, or Kiro) to boost engineering velocity and code quality.
• Strong foundation in microservice patterns, relational/NoSQL databases, and automated testing (JUnit, Mockito).

Skills

Java/J2EE

Cloud architectures

AI tooling fluency

System design & testing

Tools

Docker

Kubernetes

Terraform

CloudFormation

Bicep

Job 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.