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Generic senior backend title, Bangalore metro, and mid-level experience band drive high candidate competition.
Core Java backend skills are transferable, but Agentic AI and Apigee specialization limit cross-industry fit.
Explicit 6–9 years and numerous mandatory technologies (Java, Spring, Apigee, Agentic AI) increases shortlisting strictness.
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Design and develop scalable backend applications using Java, Spring Boot, Microservices, and secure API ecosystems including ApigeeX and GraphQL.
Build and integrate Model Context Protocol (MCP) servers and AI agent frameworks enabling multi-agent AI workflows and secure AI-native platforms.
Implement data privacy, governance, authentication (OAuth2, JWT), Zero Trust security, and collaborate with cross-functional teams to deliver AI-driven business solutions.
6–9 years of professional experience in backend engineering.
Strong proficiency with Java (version 11/17/21), Spring Boot, Microservices architecture, and API development (REST, GraphQL).
Experience with API management platforms especially ApigeeX and security mechanisms including OAuth2, JWT, Zero Trust.
Location and work mode: Hybrid role based in Bangalore.
Experienced in designing and implementing enterprise-grade secure AI-native backend platforms using Agentic AI and Model Context Protocol (MCP).
Demonstrates hands-on ability to build multi-agent workflows and AI-driven business solutions integrating with cloud and third-party systems.
Able to manage the full API lifecycle including security, governance, and observability controls in complex distributed systems.