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Strong Tier-1 brand, common backend skillset, metro location, and mid-level experience increase applicant competition.
Core Java, Spring Boot, microservices and AWS skills are highly transferable across industries.
Explicit 2–4 years, specific Java/Spring/AWS stack and mandatory AI-tool experience make filters strict.
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Develop and maintain scalable Java backend applications and RESTful APIs using Spring Boot and Microservices.
Build and support cloud-native solutions on AWS, including monitoring, performance troubleshooting, and security best practices.
Collaborate with cross-functional teams to ensure smooth SDLC activities and deployment, and manage technical documentation.
2–4 years of hands-on Java backend development experience.
Strong knowledge of Spring Boot, Microservices architecture, and REST API development.
Experience with AWS cloud services (CloudWatch, CloudTrail, S3, DynamoDB, IAM, Lambda, CloudFormation).
Mandatory AI-led development experience using AI coding tools such as Microsoft Copilot, GitHub Copilot, Cursor AI, Claude AI, Amazon Q Developer, or equivalent.
Experience working in Agile environments with knowledge of CI/CD pipelines and Git version control.
Demonstrated ability to develop and deploy cloud-native applications using Java and AWS.
Immediate to 15 days notice period, holding a BE/B.Tech, MBA, or MCA degree.