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Tier-1 brand, metro location, and broadly scoped senior engineering leadership role attracts strong applicant density.
Requires backend engineering leadership plus enterprise AI/SDLC governance, making industry and domain experience highly relevant.
Explicit 10+ years leadership requirement, mandatory Python/Django/Flask and AI governance experience make filters strict.
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Lead and coach multiple software engineering teams focused on Python, Django, and Flask development.
Own the implementation and scaling of AI-assisted engineering and SDLC automation practices to improve delivery speed, quality, and operational metrics.
Influence budget, resource allocation, and technical decisions to enhance operational efficiency and software functionality across teams.
10+ years of experience leading software teams.
5+ years applied experience with formal training or certification in software engineering concepts.
Hands-on expertise in Python, Django, and Flask mandatory.
Experience with enterprise AI-assisted development tools and governance in software delivery.
Experienced in managing multi-team software engineering environments with an emphasis on strategic implementation of AI-assisted development tools.
Demonstrated ability to establish and scale operational best practices and measurable engineering outcomes (e.g., throughput, defect reduction, security).
Background in coaching engineers and influencing leadership on responsible AI use and secure engineering workflows.