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Tier-1 employer, Bangalore location, mid-level generalist backend role with broad skills increases competition significantly.
Core Java, Spring Boot and AWS backend skills are highly transferable across industries.
Mandatory 2–4 years, Java/Spring/AWS plus AI-led tooling and tight notice period creates strict filters.
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Develop and maintain Java backend applications and RESTful APIs using Spring Boot and Microservices architecture.
Build and support cloud-native solutions leveraging AWS services including CloudWatch, CloudTrail, S3, DynamoDB, IAM, Lambda, and CloudFormation.
Engage in full SDLC activities from development to production support, collaborating with DevOps, QA, Product Owners, and Architects, while implementing AI-led development approaches.
2–4 years of hands-on Java development experience with strong knowledge of Spring Boot.
Mandatory experience with Microservices architecture, REST API development, and AWS cloud-native application development.
Must have AI-led development experience using AI coding tools such as Microsoft Copilot, GitHub Copilot, Cursor AI, Claude AI, Amazon Q Developer, or equivalents.
Immediate to 15 days notice period; Education: BE/B.Tech/MBA/MCA.
Experienced in scalable enterprise backend development combining Java, Spring Boot, Microservices, and AWS cloud services under Agile methodology.
Comfortable working with AI-assisted development tools integrated into the coding workflow.
Capable of operational ownership including performance monitoring, troubleshooting, security compliance (IAM roles and policies), and cross-functional collaboration for delivery and deployment.