As a Lead Front-end Engineer at JPMorgan Chase within the Risk Technology team, you will be a key member of an agile group, responsible for designing and delivering secure, stable, and scalable front-end solutions. You will implement critical technology across various technical areas to support the firm's business objectives. Our primary front-end stack includes JavaScript, TypeScript, and React, interfacing with a Spring Boot back-end and deploying to Kubernetes-based platforms on private and public clouds. A significant part of your role is to ensure that deployments, managed via a build server, are efficient and well-controlled.

Responsibilities include: executing software solutions, design, development, and troubleshooting; collaborating with multiple teams to meet business needs; delivering secure, high-quality production code; driving adoption of enterprise-approved AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes; establishing validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns; applying SDLC tools including AI-assisted development to improve automation; continuously improving system stability and efficiency; producing a

As a Lead Front-end Engineer at JPMorgan Chase within the Risk Technology team, you will be a key member of an agile group, responsible for designing and delivering secure, stable, and scalable front-end solutions. You will implement critical technology across various technical areas to support the firm's business objectives. Our primary front-end stack includes JavaScript, TypeScript, and React, interfacing with a Spring Boot back-end and deploying to Kubernetes-based platforms on private and public clouds. A significant part of your role is to ensure that deployments, managed via a build server, are efficient and well-controlled.

Responsibilities include: executing software solutions, design, development, and troubleshooting; collaborating with multiple teams to meet business needs; delivering secure, high-quality production code; driving adoption of enterprise-approved AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes; establishing validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns; applying SDLC tools including AI-assisted development to improve automation; continuously improving system stability and efficiency; producing a