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Strong JPMorgan brand and Bangalore metro increase competition despite seniority and niche technical demands.
Enterprise AI governance and financial operational expectations raise domain specificity despite transferable backend engineering skills.
Explicit 10+ years leadership, mandatory Python/Django/Flask skills, and AI governance requirements make filters strict.
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Lead and coach multiple software engineering teams focused on Python-based technologies (Django, Flask), ensuring delivery of strategic goals and operational stability.
Set and scale practices for enterprise-authorized AI-assisted engineering and Software Development Life Cycle automation across teams to improve delivery speed, quality, and operational outcomes with measurable metrics.
Influence budget, technical decisions, and cross-team collaboration to optimize operational efficiency and functionality within Infrastructure Platforms.
10+ years experience leading software engineering teams.
5+ years applied software engineering experience with formal training or certification.
Hands-on expertise in Python, Django, and Flask technologies.
Experience leading multi-team adoption of AI-assisted development tools with governance, security, and quality controls.
Experienced in managing and scaling engineering practices related to AI-assisted development within a large enterprise setting.
Strong strategic coaching capability for mid- to senior-level engineers and influence on cross-functional leadership.
Demonstrated success with operationalizing secure, scalable SDLC processes and driving measurable improvements in delivery and quality.