





Tier-1 brand, mid-level generalist backend role, metro locations, broad AI and cloud skillset.
Requires in-depth financial-services knowledge and domain-specific compliance, reducing cross-industry transferability.
Explicit 5+ years, mandatory Python and AI-assisted tooling experience, plus financial-services domain knowledge required.
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Deliver secure, high-quality production code in Python, including design, development, and troubleshooting for financial technology products.
Lead adoption of enterprise AI-assisted engineering tools and practices to improve code quality, delivery speed, and operational stability.
Drive technical evaluation of external and internal technologies and lead engineering communities of practice to disseminate leading-edge tech adoption.
5+ years of applied software engineering experience with formal training or certification.
Advanced proficiency in Python programming language is mandatory.
Experience leading AI-assisted software development tool usage with a focus on validation of AI outputs for security and performance.
Practical experience in software development life cycle (SDLC), automation, continuous delivery, agile methodologies (CI/CD), and software operational stability.
Technical leader capable of driving cross-functional AI-assisted software engineering adoption within agile teams.
Experienced in designing and delivering financial services technology with cloud native expertise.
Strong background in secure coding practices and responsible AI use, including coaching engineers on compliance and operational resiliency.