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Tier-1 brand, common fullstack title, and Bangalore location increase applicant competition.
Requires deep financial-services knowledge, secure coding, and cloud-native practices, reducing cross-industry transferability.
Explicit 8+ years, banking domain expertise, security and AI-tooling requirements make screening highly selective.
Lead design and development of secure, high-quality software solutions across multiple business functions within Commercial & Investment Bank technology products.
Drive adoption and operationalize enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational stability of software applications.
Evaluate architectural designs and technical credentials from vendors, startups, and internal teams to ensure alignment with existing systems and business objectives.
8+ years of applied software engineering experience with formal training or certification.
Advanced proficiency in one or more programming languages and practical cloud native experience.
Experience leading the use of approved AI-assisted software development tools and establishing secure, validated AI engineering workflows.
Strong knowledge of Software Development Life Cycle, agile methodologies (CI/CD, Application Resiliency, Security), and financial services IT systems.
Experienced in leading AI-assisted software development tool adoption with ability to enforce validation standards and safe use in engineering workflows.
Possesses deep financial services industry technical knowledge to align technology solutions with business needs.
Comfortable working cross-functionally managing vendor/startup technical evaluations within agile, cloud-native environments.