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Tier-1 brand, popular manager title, mid-level experience range, and metro location increase competition.
Technical management skills are transferable, but banking fraud and regulatory requirements increase sensitivity.
Explicit 5+ years, leadership requirement, mandatory full-stack/architecture and banking compliance raise strictness to high.
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Lead and manage a software engineering team responsible for developing and delivering Fraud Management applications, ensuring adherence to banking platform architecture and non-functional requirements.
Champion adoption of AI-powered engineering practices including intelligent automation, AI-assisted development, and data-driven decision making to accelerate delivery, improve quality, and strengthen resilience.
Oversee technical strategy, architecture, modernization initiatives (cloud readiness, application migration), and manage stakeholder relationships including product managers, architects, vendors, and internal teams.
Minimum 5 years of software engineering experience.
At least 2 years of leadership experience managing engineering teams.
Bachelor’s degree in engineering or equivalent experience is required.
Strong Java Full stack development and architecture expertise; experience with Agile, DevSecOps, CI/CD, Platform Engineering, and Cloud-native development practices.
Experienced in leading large engineering teams (15+ members) and managing complex software modernization and cloud transformation programs.
Proven capability to drive AI-assisted engineering initiatives, including use of Generative AI, LLMs, AI governance, and automation to improve productivity and operational excellence.
Able to work effectively in a matrixed, multi-cultural environment balancing technical leadership, team development, and stakeholder management at senior levels.