Lead Software Engineer - UI

JPMorgan Chase & Co.•Columbus, OH

8d•$152,000 - $215,000

About The Position

As a Lead Software Engineer at JPMorganChase within the Corporate Technology team, you will design and build intuitive user interfaces using React, Salt, and integrate with API's. You will create seamless experience and ensure top-tier usability. Key Skills include React, API Integration, UX Design, and familiarity with Databricks or Tableau is a plus.

Requirements

Formal training or certification on software engineering concepts and 5+ years applied experience
8+ years of software engineering experience building enterprise applications.
3+ years providing technical leadership (team lead, lead engineer, or similar).
Expert proficiency in React with strong JavaScript/TypeScript and HTML5/CSS.
Experience implementing enterprise UIs using the SALT Design System (or a comparable enterprise design system).
Proven integration of frontend applications with REST APIs.
Strong grasp of frontend architecture, state management, and reusable component design.
Experience partnering closely with UX designers to deliver intuitive, accessible user experiences.
Experience working effectively in Agile delivery teams.
Excellent communication, mentoring, and leadership skills; able to influence technical direction without direct authority.
Demonstrated experience using approved AI-assisted software development tools (coding, code review/refactoring, test acceleration, troubleshooting) with clear validation standards for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, and adherence to resiliency and security expectations.

Nice To Haves

UX partnership depth: working closely with UX designers/researchers, iterating based on feedback, and elevating usability for data-heavy consumer workflows
Experience building consumer-aligned “data product” UIs (self-service dashboards/portals, metric exploration, data catalog/lineage surfacing, or operational reporting interfaces)
Experience building or contributing to an enterprise design system/component library
Familiarity with Node.js “backend-for-frontend” patterns, logging, and request tracing
Experience mentoring engineers and leading technical solution design

Responsibilities

Lead design, development, and modernization of enterprise React web apps aligned to the SALT (or equivalent) design system.
Convert UX research, wireframes, and prototypes into accessible, responsive, consistent UI experiences.
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
Define frontend architecture, standards, and reusable component libraries; drive best practices across products.
Build reliable data-consumption patterns and integrations (REST/GraphQL) with pagination/caching/retries, clear UI states, and actionable error handling.
Deliver performant, scalable analytics/reporting experiences; continuously improve performance and maintainability.
Implement secure-by-design UI patterns and AuthN/AuthZ integration (SSO/OAuth/OIDC, RBAC) with strong dependency hygiene.
Establish quality and release readiness via automated tests (unit/component + basic e2e), CI/CD, and modern DevSecOps practices.
Ensure observability and operational excellence (frontend monitoring, API triage, incident response, postmortems).
Collaborate with Product, UX, data engineers, and software engineers to translate business needs into strong technical solutions.
Mentor engineers through code reviews, coaching, and knowledge sharing; evaluate emerging frontend and AI-assisted delivery practices to improve adoption and efficiency.