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Tier-1 bank, Bangalore location, and mainstream Java backend leadership role create moderate candidate competition.
Backend Java and microservices skills transfer widely, though payments domain preference raises domain specificity.
Multiple mandatory Java, microservices, cloud, and leadership requirements enforce strict shortlisting.
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Lead and coach multiple software engineering teams developing Payments Data Analytics and Reporting Platform technologies.
Own budgeting, resource decisions, and process execution impacting multiple teams' operations and delivery.
Set and scale AI-assisted engineering and SDLC automation practices to improve delivery speed, quality, and operational outcomes.
5+ years applied software engineering experience plus 2+ years leading technologists in complex technical domains.
Strong proficiency in Java11+, Spring Boot, RESTful microservices, Apache Kafka, Docker, Kubernetes, and persistence technologies (SQL/NoSQL).
Experience in Payments domain within financial services and practical cloud-native/AWS experience.
Experience leading distributed technical teams and implementing enterprise AI-assisted development tools and governance.
Experienced engineering leader skilled in managing multiple teams and aligning delivery with strategic initiatives in financial technology.
Strong technical expertise in Java-based microservices architecture and AI-assisted software development practices.
Able to drive modernization of legacy platforms and lead adoption of automation to improve operational efficiency and security.