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Tier-1 brand and metro location increase applicant density, but seniority and specialization moderate competition.
Backend engineering and leadership skills are transferable, though finance-specific and AI governance needs reduce portability.
Mandates 10+ years leadership, Python/Django expertise, and AI governance experience, creating strict shortlisting filters.
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Lead and coach multiple software engineering teams on Python-based projects, influencing technical and budget decisions to improve operational efficiency.
Set and scale enterprise-wide AI-assisted engineering practices and Software Development Life Cycle (SDLC) automation to enhance delivery speed, quality, and reliability.
Ensure cross-team collaboration and governance of AI-assisted development, establishing measurable outcomes and secure, resilient workflows.
10+ years of leadership experience leading software teams.
5+ years of applied experience with formal training or certification in software engineering concepts.
Hands-on expertise in Python, Django, and Flask frameworks.
Experience leading enterprise adoption of AI-assisted development tools with a strong understanding of responsible AI use, governance, and security implications.
Experienced technical leader capable of strategic influence on team culture, operational excellence, and cross-functional collaboration.
Proven ability to implement and govern AI-assisted engineering tools and frameworks across multiple teams with measurable impact.
Deep domain expertise in backend Python development, system design, and operational stability within a financial technology or similarly regulated environment.