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Strong Tier-1 brand, metro Bangalore location, and broad technical requirements increase applicant competition.
Core backend skills are transferable but payments/financial-services domain knowledge requirement raises domain specificity.
Explicit years, leadership requirement, mandatory Java/Spring/Kafka/AWS stack, and regulated payments domain make filters strict.
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Lead and coach multiple software engineering teams focusing on Java-based financial technology products, particularly Payments Data Analytics and Reporting Platform.
Set and scale engineering operating practices including AI-assisted development and SDLC automation to improve delivery speed, quality, and operational metrics.
Accountable for resource allocation, budget inputs, tactical operations, modernization of legacy platforms, and influencing technical decisions across teams.
5+ years of applied software engineering experience plus 2+ years leading technologists on complex technical problems.
Strong proficiency in Java 11+, Spring Boot, RESTful Web Services, Apache Kafka, relational and NoSQL databases, and container technologies (Docker, Kubernetes).
Experience in financial services industry IT systems, especially Payments domain; practical AWS cloud native experience.
Experience leading distributed teams and multi-team adoption of AI-assisted development tools with governance and outcome measurement.
Experienced technical leader able to provide strategic oversight and coaching across entry to mid-level engineers in complex fintech environments.
Hands-on expertise driving modernization of legacy platforms and implementing scalable, resilient microservices using Java technologies and AI-assisted engineering.
Comfortable navigating financial services Payments domain challenges with knowledge of secure, compliant development and continuous delivery in cloud environments.