





Strong Tier‑1 brand and Mumbai metro increase competition, though senior Kafka/backend specialization narrows candidate pool.
Core backend and Kafka skills are transferable, but banking/payments and responsible-AI emphasis increases domain sensitivity.
Multiple mandatory deep-technical skills, leadership, and responsible-AI experience make filters highly restrictive.
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Provide technical leadership and guidance to support business and technical teams, contractors, and vendors.
Develop, review, and debug secure, high-quality production code in Java, Spring Boot, Kafka, and cloud native environments.
Drive adoption and governance of AI-assisted engineering practices to enhance code quality, delivery speed, and operational outcomes with measurable validation standards.
Proven expertise in building large scale and high throughput applications.
Proficient in Java, Spring Boot, Kafka, cloud native applications, distributed systems, and parallel processing.
Experience leading use of enterprise-authorized AI-assisted software development tools and setting validation standards for AI outputs.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in handling independent design and functionality problem solving with minimal oversight.
Strong knowledge of responsible AI use in engineering workflows, including security and data sensitivity compliance, and ability to coach senior engineers.
Familiar with enterprise software development life cycle toolchains and advocating firmwide frameworks, tools, and AI-driven best practices.