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Tier-1 brand, metro location, popular mid-level backend title and broad skill requirements increase competition.
Core Java backend and cloud skills are highly transferable across industries.
Mandatory 2–4 years, AI-led tooling, Java/Spring/AWS expertise and tight notice period enforce strict filters.
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Develop and maintain scalable Java backend applications and RESTful APIs using Spring Boot and Microservices architecture.
Build, deploy, and support cloud-native solutions leveraging AWS services including CloudWatch, CloudTrail, S3, DynamoDB, IAM, Lambda, and CloudFormation.
Participate in full SDLC activities and collaborate with DevOps, QA, and Architects to ensure smooth delivery, application performance monitoring, troubleshooting, and adherence to security best practices.
2-4 years of hands-on Java backend development experience with strong Spring Boot knowledge.
Mandatory AI-led development experience using AI coding/development tools like Microsoft Copilot, GitHub Copilot, Cursor AI, Claude AI, Amazon Q Developer, or equivalent.
Working knowledge of Microservices architecture, REST API development, AWS cloud services, SQL/NoSQL databases, Git, CI/CD pipelines, and Agile methodology.
Education: BE/B.Tech, MBA, or MCA degree; Notice period must be immediate to 15 days.
Experienced Java backend developer comfortable with cloud-native AWS environments and microservices-based architectures.
Proficient in integrating AI-led development tools into coding workflows to enhance productivity and innovation.
Able to operate effectively within Agile teams collaborating with DevOps, QA, and business stakeholders to deliver secure, scalable backend solutions.