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Tier-1 brand, Bangalore metro, managerial backend role, and broad technical requirements increase competition.
Core backend and cloud skills are transferable, but payments domain and responsible-AI needs add moderate industry specificity.
Explicit 5+ years, required leadership, and mandatory Java/Kafka/cloud experience make shortlisting highly strict.
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Lead and coach multiple technical teams of entry to mid-level software engineers working on Java-based payments technology projects.
Own decisions impacting team resources, budget, tactical operations, and software development lifecycle automation to improve delivery quality and speed.
Drive adoption and governance of enterprise-authorized AI-assisted engineering tools ensuring security, reliability, and operational efficiency.
5+ years applied software engineering experience with formal training or certification; plus 2+ years leading technologists managing complex technical challenges.
Proficiency in Java 8+, Multi-threading, Spring Boot, Kafka, Active MQ, RESTful HTTP, Oracle/MySQL.
Experience leading multi-team adoption of AI-assisted development tools with governance and security controls.
Practical cloud-native experience including AWS/Private Cloud and container technologies like Docker/Kubernetes.
Experienced leader comfortable managing multiple teams and influencing budget and technical strategies in a payments technology or financial services environment.
Strong expertise in Java ecosystem and middleware technologies (Kafka, Active MQ), with proven ability to implement scalable SDLC automation and AI-assisted engineering practices.
Skilled in responsible AI adoption in engineering workflows with an emphasis on data sensitivity, security, and resilient delivery, and capable of coaching managers and influencing leadership.