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Strong Tier-1 brand, popular backend title, and Bangalore metro drive high applicant competition.
Java backend skills transfer across industries but AWS and mandatory AI-led tooling add moderate specificity.
Explicit 2–4 year requirement plus mandatory Java/Spring/AWS and AI-led tooling makes shortlisting strict.
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Develop and maintain scalable backend applications and RESTful APIs using Java, Spring Boot, and Microservices architecture.
Build and support cloud-native solutions leveraging AWS services including CloudWatch, CloudTrail, S3, DynamoDB, IAM, Lambda, and CloudFormation.
Participate throughout the SDLC including development, testing, deployment, production support, and documentation, ensuring application performance and security best practices.
2–4 years of hands-on experience in Java backend development with strong Spring Boot knowledge.
Mandatory experience in AI-led development using tools like Microsoft Copilot, GitHub Copilot, Cursor AI, Claude AI, Amazon Q Developer, or equivalents.
Experience with AWS cloud services including CloudWatch, CloudTrail, S3, DynamoDB, IAM, Lambda, and CloudFormation.
Education: Bachelor’s degree in Engineering (BE/B.Tech), MBA, or MCA; Immediate to 15 days notice period explicitly required.
Solid experience delivering enterprise-scale backend systems using Java and Microservices in cloud environments.
Proficient in integrating AI coding tools within development workflows to enhance productivity and code quality.
Able to collaborate effectively across DevOps, QA, product, and architecture teams to ensure smooth delivery and operational excellence.