





Tier-1 brand, popular fullstack title, mid-level seniority, and metro location increase competition.
Modern fullstack technologies are transferable, though banking enterprise context adds some domain bias.
Multiple mandatory tech stacks, enterprise standards, and leadership expectations make filters strict.
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Design and develop scalable, secure Java microservices with Spring Boot following enterprise architecture standards.
Leverage AI tools (e.g., GitHub Copilot, Gemini) to accelerate development, generate code and documentation, and improve debugging and performance.
Drive best practices for API design, event-driven architectures using Kafka, CI/CD pipelines, and cloud-native deployments enhancing engineering productivity and solution maintainability.
Experience developing enterprise-grade Java microservices using Spring Boot.
Proficiency in REST API design and implementation, Kafka or similar messaging systems, and front-end technologies including React and TypeScript.
Exposure to databases like Oracle, MS SQL, and NoSQL; containerization using Docker and Kubernetes; CI/CD tools and version control (Git/Bitbucket).
Work Experience Required: Not explicitly mentioned in the JD; Location: Bangalore, India.
Strong system design and architecture skills with the ability to evaluate design trade-offs for performance, scalability, and cost.
Experience working in Agile environments with collaboration across architects, senior engineers, and mentoring junior developers.
Proven ability to responsibly leverage AI-assisted development tools to enhance productivity and optimize workflows in enterprise software delivery.