Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience
Advanced in modern front-end development with React JS, including component-driven architecture, state management, performance optimization, and building responsive, accessible user interfaces
Hands-on experience modernizing front-end applications (e.g., migrating legacy UI stacks to React, improving build/tooling and CI/CD) and automation scripting for the front end (e.g., automated UI testing, build/release automation, and regression prevention)
Advanced in one or more programming language(s), specifically Java or Python
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Proficient in all aspects of the Software Development Life Cycle
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
In-depth knowledge of the financial services industry and their IT systems and practical cloud native experience
Preferred qualifications, capabilities, and skills
E2E testing with Playwright (or similar)
Experience with charting/data visualization libraries (e.g., D3/Highcharts/ECharts) and building analytics-style UIs
Experience integrating front-end applications with backend APIs and working with large datasets (performance, pagination/virtualization, caching, error handling).
