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Tier-1 brand, generalist lead software title, mid-level requirement, metro location, and broad skills increase competition.
Requires in-depth financial services knowledge, reducing cross-industry transferability.
Mandatory 5+ years, Python, AI-assisted engineering experience, cloud and financial-services domain make filters highly strict.
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Lead design, development, and troubleshooting of secure, scalable software solutions primarily using Python within an agile Commercial and Investment Banking tech team.
Drive adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational stability including AI-assisted code review, test acceleration, and incident analysis.
Lead evaluation of external vendors and internal communities of practice to incorporate emerging technologies and drive best practices in software engineering.
5+ years of applied experience with formal training or certification in software engineering concepts.
Advanced proficiency in Python programming.
Demonstrated experience leading effective use and validation of approved AI-assisted software development tools.
Strong understanding of responsible AI use including data sensitivity, secure handling, resiliency, and security in engineering workflows.
Experienced in system design, application development, testing, and ensuring operational stability within financial services technology environments.
Familiar with software development life cycle processes, agile methodologies (CI/CD), automation, and cloud-native technologies.
Strategic thinker capable of leading teams and communities of practice to integrate AI tools and drive innovation while maintaining secure and compliant software engineering practices.