Lead UI Engineer

Job Responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Works closely with multiple teams to understand requirements, create solutions which meets business needs for the widest number of teams
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• 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.
• Continuously improves on system stability and efficiency
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts and applied experience
• Solid development experience in Javascript, Typescript, React, or similar technologies
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting)
• 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
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
• Solid experience with Cloud deployment solutions such as Kubernetes

Preferred Qualifications, Capabilities, And Skills

• Competency in HTML, CSS, SVG, ES6, TypeScript, React, Lodash, NodeJS
• Experience with build tools such as Nx, and Maven
• Familiarity with modern front-end technologies
• Exposure to cloud technologies