Senior Lead Software Engineer- Front end and React

JPMorgan Chase & Co.•Jersey City, NJ

2d•$175,750 - $260,000

About The Position

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer Software Engineer at JPMorgan Chase within the Vendor Management Office Engineering team, you will have a pivotal role in leading a high-performing team, promoting the design and delivery of modern, scalable, and reusable user interfaces for our enterprise-wide applications. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Requirements

Formal training or certification on software engineering concepts and 8+ years applied experience
8+ years of hands-on UI development experience, with at least 3 years in a technical leadership or lead developer role.
Deep expertise in React, TypeScript, JavaScript (ES6+), HTML5, and CSS3.
Proven experience architecting and implementing micro-frontend solutions.
Strong track record of building and maintaining reusable UI component libraries.
Demonstrated ability to create rapid prototypes and iterate based on user feedback.
Experience with modern design systems (e.g., Material UI, Ant Design) and CSS frameworks.
Solid understanding of UI/UX principles, accessibility, and responsive design.
Excellent communication skills, with the ability to mentor and inspire junior developers.
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.

Nice To Haves

Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS, Azure).
Familiarity with RESTful APIs and microservices architecture.
Exposure to CI/CD pipelines and DevOps practices.
Working knowledge of Java-SpringBoot.
Experience with automated testing frameworks for UI (e.g., Jest, React Testing Library).

Responsibilities

Lead the design, development, and delivery of modern, responsive, and visually appealing user interfaces using React and TypeScript.
Architect and implement micro-frontend solutions, ensuring modularity, scalability, and maintainability across applications.
Build and maintain a library of reusable UI components, driving consistency and efficiency across projects.
Collaborate closely with UX/UI designers and product owners to translate wireframes and user requirements into high-quality, production-ready code.
Rapidly prototype new features and concepts to gather user feedback and iterate before full-scale development.
Mentor and coach junior UI developers, fostering a culture of technical excellence, collaboration, and continuous learning.
Review and debug code, ensuring adherence to best practices in code quality, accessibility, and performance.
Stay current with emerging UI technologies and industry trends, championing their adoption within the team.
Work collaboratively with backend and DevOps teams to ensure seamless integration and deployment of UI solutions.
Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale