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Tier-1 bank, Bangalore metro, generic Software Engineer title, and broad mid-level backend skillset increase competition.
Core backend, Java, cloud and microservices skills are highly transferable across industries.
Mandatory Java microservices, cloud, AI-driven engineering, and CI/CD skills require strict technical filters.
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Engineer, maintain, and optimize innovative, high performance, secure software solutions within a feature team responsible for the full development life cycle.
Produce complex, critical software rapidly and of high quality that adds measurable business value.
Collaborate with engineers, architects, and business analysts to enhance software engineering capabilities and deliver end-to-end solutions.
Hands-on experience with AI-driven software engineering including Prompt Engineering, MCP, AI agent architectures, RAG, and RESTful API integration.
Strong experience in designing, developing, and deploying scalable microservices and distributed applications using Java/J2EE and cloud-native architectures.
Solid understanding of Cloud Engineering, DevOps, Agile methods, containerization, observability, automated testing, and CI/CD toolchains.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in integrating AI-driven components into production software environments with ability to handle emerging technologies like AI agents and RAG.
Proficient in Java/J2EE microservices architecture at scale, with familiarity in cloud-native deployment and DevOps tools.
Comfortable operating within cross-functional Agile feature teams handling all software development phases from inception to deployment and maintenance.