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Tier-1 brand, metro location, and high-visibility fullstack lead role with broad required skills.
Core fullstack, cloud, and AI skills transfer across industries, but enterprise banking governance adds moderate specificity.
10+ years required plus mandatory Java, cloud, Kubernetes, and AI tooling increases strictness.
Lead design, development, and delivery of scalable, secure software solutions using Java/Scala and modern front-end frameworks.
Drive architecture decisions and lead team adoption of enterprise-authorized AI-assisted engineering practices and automation to improve delivery and operational outcomes.
Develop AI-enabled applications including AI Agents, work with hybrid data ecosystems, and ensure quality via testing and continuous validation.
Minimum 10+ years of hands-on software engineering experience with formal training or equivalent practical expertise.
Strong proficiency in Java and Spring Boot; working knowledge of SQL and modern front-end frameworks like React.
Experience designing scalable, secure, and resilient distributed systems and leading adoption of AI-assisted engineering practices responsibly.
Experience with CI/CD, containerization (Docker, Kubernetes/ECS/EKS), Infrastructure as Code, API design (REST, GraphQL), and public cloud platforms like AWS.
Senior software engineer with extensive experience leading architecture and engineering teams in enterprise environments.
Demonstrated expertise in building and operationalizing AI-enabled applications using responsible AI practices, including handling data sensitivity and governance.
Strategic operator skilled at integrating modern architecture patterns (microservices, event-driven) and modern DevOps/automation tools within complex hybrid data ecosystems.