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Strong employer brand, generic Software Engineer title, mid-level role and Bangalore location increase candidate competition.
Core backend, Java and cloud skills are broadly transferable across industries but require some domain adaptation.
Multiple mandatory tech stacks (Java microservices, cloud, AI) and domain experience increase filter strictness.
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Engineer and maintain high performance, secure, and robust software solutions within a feature team.
Produce complex, critical software rapidly with high quality that adds business value.
Handle full software development life cycle including requirements analysis, design, coding, testing, deployment, and operations.
Experience in software engineering, software design, and architecture roles.
Hands-on experience with AI-driven software engineering including Prompt Engineering, MCP, AI agent architectures, RAG, and RESTful API integration.
Strong experience with Java/J2EE in designing, developing, and deploying scalable microservices and distributed applications using cloud-native architectures.
Solid knowledge of Cloud Engineering, DevOps, Agile methodologies, containerization, observability, automated testing, and CI/CD toolchains.
Experienced in AI-driven software engineering integrated with cloud-native microservices architecture.
Capable of working collaboratively across teams including engineers, architects, and business analysts within an Agile feature team environment.
Comfortable owning software solutions end-to-end, emphasizing rapid delivery without sacrificing quality or security.