Lead Software Engineer - UI

📍 Job Overview

Job Title: Lead Software Engineer - UI

Company: JPMorgan Chase & Co.

Location: Columbus, OH, United States

Job Type: Full time

Category: Software Engineering (Frontend/UI)

Date Posted: 2026-07-29T16:50:50

Experience Level: 5-10 Years

Remote Status: On-site

🚀 Role Summary

• Lead the design, development, and modernization of enterprise React web applications, aligning with established design systems like SALT.

• Drive the adoption of AI-assisted engineering practices to enhance code quality, delivery speed, and operational outcomes within the software development lifecycle.

• Define frontend architecture, establish reusable component libraries, and champion best practices across multiple products.

• Build robust data-consumption patterns and integrations (REST/GraphQL) with comprehensive error handling and clear UI states.

📝 Enhancement Note: While the job title is "Lead Software Engineer - UI", the core responsibilities and required skills strongly indicate a focus on frontend development within an enterprise technology context. The emphasis on "Corporate Technology" and "enterprise React web apps" suggests this role is crucial for internal tools, platforms, or customer-facing applications within JPMorgan Chase's vast operational infrastructure, rather than purely external product development. The integration of AI-assisted development tools points to a forward-thinking engineering team focused on efficiency and innovation.

📈 Primary Responsibilities

• Lead the design, development, and modernization of enterprise React web applications, ensuring alignment with the SALT (or equivalent) design system standards.

• Translate UX research, wireframes, and prototypes into accessible, responsive, and consistent user interface experiences.

• Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.

• Apply knowledge of the Software Development Life Cycle (SDLC) toolchain, including AI-assisted development and automation capabilities, to maximize value from automation initiatives.

• Define frontend architecture, establish reusable component libraries, and drive best practices across various 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 and reporting experiences, continuously improving performance and maintainability.

• Implement secure-by-design UI patterns and integrate authentication/authorization mechanisms (SSO/OAuth/OIDC, RBAC) with strong dependency management.

• Establish quality and release readiness through automated tests (unit/component + basic e2e), CI/CD pipelines, and modern DevSecOps practices.

• Ensure observability and operational excellence through frontend monitoring, API triage, incident response, and postmortems.

• Collaborate effectively with Product Managers, UX designers, data engineers, and other software engineers to translate business needs into robust technical solutions.

• Mentor other engineers through code reviews, coaching, and knowledge sharing, evaluating emerging frontend and AI-assisted delivery practices for improved adoption and efficiency.

📝 Enhancement Note: The responsibilities highlight a blend of technical leadership, hands-on development, and strategic implementation of modern engineering practices, including AI-assisted tools. The emphasis on "enterprise applications," "design systems," "data consumption patterns," and "DevSecOps" points to a role that requires a deep understanding of building scalable, secure, and maintainable frontend solutions within a large financial institution. The explicit mention of AI-assisted development suggests that candidates will be expected to leverage these tools and potentially guide their implementation.

🎓 Skills & Qualifications

Education: Formal training or certification on software engineering concepts.

Experience: 8+ years of software engineering experience building enterprise applications, with a minimum of 3+ years in a technical leadership role (team lead, lead engineer, or similar).

Required Skills:

• 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; ability 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. Preferred Skills:

• Depth in UX partnership: 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.

📝 Enhancement Note: The "5+ years applied experience" alongside "8+ years of software engineering experience" and "3+ years providing technical leadership" suggests a nuanced requirement. Candidates should demonstrate a solid foundation in enterprise software development, significant hands-on experience with modern frontend technologies, and proven ability to lead and mentor teams. The explicit mention of AI-assisted tools indicates that practical experience or a strong understanding of their application in an enterprise setting is highly valued.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase examples of complex enterprise React applications developed, highlighting architectural decisions and their impact on scalability and maintainability.

• Present case studies demonstrating successful integration of frontend applications with REST or GraphQL APIs, detailing challenges in data consumption and resolution strategies.

• Include examples of reusable component libraries or contributions to design systems (like SALT), emphasizing design principles and implementation consistency.

• Provide evidence of applying AI-assisted development tools in your workflow, detailing how these tools improved code quality, development speed, or troubleshooting efficiency. Process Documentation:

• Detail your approach to frontend architecture definition, including how you establish standards and promote best practices across teams.

• Document your process for translating UX designs and prototypes into functional, accessible, and responsive user interfaces.

• Illustrate your methodologies for implementing secure UI patterns and integrating authentication/authorization mechanisms.

• Explain your strategy for ensuring quality and release readiness through automated testing, CI/CD, and DevSecOps practices.

📝 Enhancement Note: For a Lead Software Engineer role, a portfolio is crucial for demonstrating practical application of skills. Candidates should be prepared to walk through projects that showcase not only technical proficiency in React and related technologies but also their leadership in defining architecture, mentoring teams, and implementing modern development practices, including AI-assisted tools. The emphasis on "enterprise applications" and "design systems" suggests a need for projects that reflect scalability, maintainability, and adherence to organizational standards.

💵 Compensation & Benefits

Salary Range:

Based on industry benchmarks for Lead Software Engineers with 8+ years of experience in major metropolitan areas like Columbus, OH, and considering the enterprise financial services sector, a competitive salary range is estimated between $152,000 to $215,000 USD per year. This range accounts for the seniority, technical leadership, and specialized skills required, including AI-assisted development expertise.

Benefits:

• Comprehensive health care coverage (medical, dental, vision).

• Retirement savings plan (e.g., 401(k) with company match).

• Backup childcare services.

• Tuition reimbursement for continued education and skill development.

• Mental health support and resources.

• Financial coaching and planning services.

• Incentive compensation (potentially commission-based pay or discretionary bonus).

• Equity awards (for eligible roles).

Working Hours: Standard full-time work week, typically 40 hours per week, with potential for extended hours during critical project phases or incident response.

📝 Enhancement Note: The salary range is derived from analysis of similar Lead Software Engineer roles in the technology and financial services sectors in the US, specifically considering the Columbus, OH location. It factors in the extensive experience (8+ years), technical leadership requirement, and the advanced skills like AI-assisted development. The provided benefits are directly extracted from the job description's "total rewards package" section, tailored for clarity.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Services. JPMorgan Chase is a global leader in financial services, offering a wide range of products and services to consumers, small businesses, corporations, and governments.

Company Size: Large Enterprise (typically 100,000+ employees globally).

Founded: Over 200 years ago, with a rich history in financial innovation.

Team Structure:

• The role sits within the Corporate Technology team, focusing on enterprise-level software solutions.

• The UI engineering team likely comprises several Lead Software Engineers, Senior Software Engineers, Software Engineers, and potentially UX/UI designers, working in an Agile framework.

• This team collaborates closely with Product Management, Data Engineering, and other engineering disciplines to deliver integrated solutions. Methodology:

• Emphasis on Agile delivery methodologies for iterative development and rapid response to business needs.

• Adoption of modern DevSecOps practices, integrating security and operational excellence throughout the software development lifecycle.

• Strategic implementation of AI-assisted engineering tools to enhance productivity, code quality, and innovation.

• Focus on data-driven decision-making, leveraging analytics and metrics for performance monitoring and continuous improvement.

Company Website: https://www.jpmorganchase.com/

📝 Enhancement Note: As a well-established financial institution, JPMorgan Chase fosters a culture that balances innovation with stability and security. The "Corporate Technology" team implies a focus on internal systems, platforms, and infrastructure that support the company's vast operations, rather than direct client-facing product development for external consumers (though some internal tools may have external user impact). The emphasis on AI-assisted development suggests a forward-looking approach to engineering within a traditionally conservative industry.

📈 Career & Growth Analysis

Operations Career Level: This is a senior individual contributor role with significant technical leadership responsibilities. It sits at the "Lead" level, indicating a move beyond individual contribution to influencing technical direction, mentoring others, and driving best practices. This is often a stepping stone to Principal Engineer or Architect roles, or management tracks if desired.

Reporting Structure: The Lead Software Engineer - UI will likely report to an Engineering Manager or Director within the Corporate Technology organization. They will be responsible for leading and guiding a team of engineers (potentially without direct line management authority, but through technical direction and mentorship).

Operations Impact: This role directly impacts the efficiency, usability, and security of enterprise applications. By leading UI development and promoting AI-assisted engineering, the engineer contributes to faster delivery cycles, improved developer productivity, enhanced user experiences for internal stakeholders, and more robust, secure software solutions that underpin JPMorgan Chase's critical business functions.

Growth Opportunities:

• Technical Specialization: Deepen expertise in advanced frontend architecture, design systems, and emerging UI technologies, potentially specializing in data visualization or complex enterprise dashboards.

• AI-Assisted Development Leadership: Become a subject matter expert and advocate for AI-assisted engineering practices, helping to define standards and best practices across the broader engineering organization.

• Cross-Functional Leadership: Expand influence by leading technical solutions across multiple product teams or domains, collaborating with various engineering disciplines (backend, data, infrastructure).

• Architectural Design: Progress towards Architect roles, focusing on defining long-term technical strategies for frontend platforms and enterprise-wide UI consistency.

• Mentorship & Management: Transition into people management roles, leading engineering teams and fostering talent development.

📝 Enhancement Note: The "Lead" title signifies a critical juncture in a software engineering career. It demands not only deep technical expertise but also the ability to influence, mentor, and strategically guide development efforts. The integration of AI tools presents a unique growth avenue, allowing individuals to shape the future of software development within a major financial institution.

🌐 Work Environment

Office Type: On-site, indicating a traditional office-based work environment within JPMorgan Chase's Columbus, OH location. This suggests a collaborative setting with opportunities for in-person interaction.

Office Location(s): 1111 Polaris Pkwy, Columbus, OH 43240. This is a significant corporate campus that likely offers various amenities.

Workspace Context:

• The workspace is expected to be a collaborative environment conducive to team-based Agile development.

• Access to modern development tools, high-performance computing resources, and robust IT infrastructure will be standard.

• Opportunities for direct interaction with UX designers, product managers, and fellow engineers will be prevalent, fostering a dynamic problem-solving atmosphere.

• The environment will support adherence to strict security protocols and compliance standards inherent in the financial services industry.

Work Schedule: The standard work schedule is typically 40 hours per week. However, given the enterprise nature of the role and potential for critical system updates or incident response, flexibility and occasional extended hours may be required to meet project deadlines and ensure system stability.

📝 Enhancement Note: The "On-site" work arrangement for a Lead Software Engineer at a major financial institution like JPMorgan Chase implies a structured environment where collaboration, security, and adherence to corporate standards are paramount. The Columbus location is a significant operational hub for the company, suggesting access to substantial resources and a large professional network.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or recruiter call to assess basic qualifications, experience, and cultural fit.

• Technical Screening: A coding or technical interview (potentially remote or on-site) focusing on React, JavaScript,

TypeScript, and fundamental frontend concepts.

• On-site/Virtual Loop: A series of interviews with various stakeholders, including:

  • Hiring Manager: To discuss leadership experience, team dynamics, and strategic vision.
  • Peer Engineers: To delve into technical depth, problem-solving skills, and collaboration style.
  • UX Designer/Product Manager: To assess collaboration on user experience and translating requirements.
  • Architecture/Senior Engineer: To evaluate architectural thinking, system design, and ability to handle complex challenges.

• Portfolio Review: A dedicated session where candidates present selected projects, detailing their role, technical contributions, architectural decisions, and the impact of their work, especially on AI-assisted development.

• Final Interview: Potentially with a senior leader to discuss overall fit and career aspirations.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 of your most impactful projects that best showcase your expertise in React, enterprise UI development, design system implementation, API integration, and leadership.

• Highlight Leadership: Clearly articulate your role in technical direction, architectural decisions, and mentoring other engineers.

• Showcase AI Integration: Prepare specific examples of how you've used AI-assisted development tools. Detail the problem, the tool used, the outcome, and any lessons learned regarding validation, security, and responsible AI use.

• Quantify Impact: Whenever possible, use metrics to demonstrate the success of your projects (e.g., performance improvements, user adoption rates, reduction in bug counts, efficiency gains from AI tools).

• Explain Design System Adherence: If you've worked with enterprise design systems like SALT, explain your approach to using, extending, or contributing to them, emphasizing consistency and reusability.

• Collaborative Context: Be prepared to discuss how you collaborate with UX designers, product managers, and backend engineers.

Challenge Preparation:

• Coding Challenges: Practice advanced JavaScript/TypeScript problems, React component design, state management scenarios, and API interaction simulations.

• System Design: Prepare for questions on designing scalable and maintainable frontend architectures, component libraries, and data flow strategies.

• Behavioral Questions: Anticipate questions about leadership, conflict resolution, mentoring, dealing with ambiguity, and driving adoption of new technologies/practices (especially AI).

• AI-Assisted Development Scenarios: Be ready to discuss hypothetical or past scenarios where AI tools could or were used to solve complex problems, including considerations for security and accuracy.

📝 Enhancement Note: For a Lead role, the interview process will heavily emphasize not just technical skills but also leadership, problem-solving approach, and the ability to mentor and influence. The portfolio review is a critical component, where demonstrating practical application of AI-assisted development tools and their impact will be key differentiators.

🛠 Tools & Technology Stack

Primary Tools:

• Frontend Framework: React (Expert Proficiency)

• Languages: JavaScript, TypeScript, HTML5, CSS

• Design Systems: SALT Design System (or comparable enterprise systems)

• API Integration: REST APIs, GraphQL

• State Management: Redux, Context API, or similar modern solutions.

• Build Tools: Webpack, Vite, or similar.

• Testing Frameworks: Jest, React Testing Library, Cypress (for E2E).

Analytics & Reporting:

• Experience with frontend performance monitoring tools.

• Familiarity with analytics platforms (e.g., Google Analytics, Adobe Analytics, or internal equivalents) for user behavior tracking.

• Potential exposure to data visualization tools like Databricks or Tableau for understanding data consumption patterns, though direct experience may be preferred. CRM & Automation:

• While not directly CRM-focused, understanding how frontend applications interact with backend services and potentially CRM APIs is essential.

• Familiarity with CI/CD pipelines and DevSecOps tools (e.g., Jenkins, GitLab CI, Azure DevOps, Docker, Kubernetes).

• Experience with AI-assisted development tools (specifics may vary based on enterprise authorization).

📝 Enhancement Note: The technology stack is heavily focused on modern frontend development within an enterprise context. The mention of Databricks or Tableau as a "plus" suggests that while not mandatory, familiarity with data analysis and visualization tools can be advantageous, especially for roles involving "analytics/reporting experiences" and "data-product UIs." The emphasis on AI-assisted development tools is a key differentiator.

👥 Team Culture & Values

Operations Values:

• Innovation & Efficiency: A drive to leverage modern technologies, including AI-assisted development, to create more efficient workflows and deliver impactful solutions faster.

• Quality & Reliability: Commitment to building robust, secure, and maintainable enterprise applications with a strong emphasis on testing and operational excellence.

• Collaboration & Mentorship: A culture of teamwork, knowledge sharing, and mutual support, where experienced engineers actively mentor junior team members.

• Customer Focus (Internal/External): Dedication to understanding user needs and delivering intuitive, accessible, and performant experiences, whether for internal stakeholders or external clients.

• Security & Compliance: Adherence to stringent security protocols and regulatory compliance, paramount in the financial services industry.

Collaboration Style:

• Cross-Functional Integration: Seamless collaboration with UX designers, Product Managers, Data Engineers, and backend developers is essential for end-to-end solution delivery.

• Agile & Iterative: Working within Agile frameworks means frequent collaboration, feedback loops, and adaptive planning.

• Knowledge Sharing: Active participation in code reviews, technical discussions, and internal knowledge-sharing sessions to elevate the collective skill set of the team.

• Data-Driven Feedback: Utilizing data and analytics to inform design decisions and measure the impact of implemented features.

📝 Enhancement Note: The culture at JPMorgan Chase, particularly within Corporate Technology, is likely to be a blend of rigorous adherence to financial industry standards and a growing embrace of modern, agile development practices. The emphasis on AI-assisted development indicates a willingness to adopt new tools that promise significant efficiency gains, while maintaining a strong focus on security and quality.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Enterprise Complexity: Working within a large, established organization requires understanding and adhering to established processes, security protocols, and a diverse technology landscape.

• Balancing Innovation with Stability: Implementing cutting-edge technologies and AI tools while ensuring the stability, security, and compliance of critical enterprise applications.

• Driving AI Adoption: Effectively championing and integrating AI-assisted development tools across a team or organization, addressing potential concerns and ensuring responsible, secure usage.

• Cross-Functional Alignment: Ensuring smooth collaboration and alignment between various teams (UX, Product, Backend, Data) with potentially different priorities and technical backgrounds.

• Technical Debt Management: Continuously working to modernize legacy components or address technical debt while delivering new features and improvements.

Learning & Development Opportunities:

• Advanced Frontend Architecture: Opportunities to deepen expertise in complex state management, performance optimization, and scalable component design.

• AI-Assisted Development Specialization: Become a go-to expert in leveraging AI tools for coding, testing, and debugging, potentially contributing to internal best practices.

• Enterprise Design System Contribution: Opportunities to influence and contribute to the development and evolution of the SALT design system or similar enterprise-wide component libraries.

• Cross-Domain Exposure: Gain experience with backend-for-frontend (BFF) patterns, cloud-native architectures, and data engineering principles.

• Leadership Development: Formal and informal training programs focused on technical leadership, mentorship, and strategic influence.

📝 Enhancement Note: The challenges presented are typical for a senior engineer in a large enterprise, particularly in a regulated industry. The growth opportunities are tailored to the specific requirements of the role, emphasizing advanced technical skills, leadership, and the emerging field of AI in software development.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you led the design and development of a complex enterprise UI using React. What were the key architectural decisions, and what was their impact?" (Focus on your leadership, architectural thinking, and understanding of enterprise constraints.)

• "How have you integrated AI-assisted development tools into your workflow? Provide a specific example where these tools improved code quality, development speed, or troubleshooting, and discuss any validation steps you took." (Be ready to detail your experience with AI tools, including responsible use and security considerations.)

• "Walk us through your process for translating UX wireframes into a fully functional, accessible, and responsive user interface, especially when working with an established design system like SALT." (Demonstrate your understanding of the UI development lifecycle and collaboration with UX.)

• "How do you ensure the performance, scalability, and security of your frontend applications, particularly when integrating with RESTful APIs?" (Highlight your technical depth in performance optimization, error handling, and secure coding practices.)

• "Describe your approach to mentoring junior engineers and driving best practices within a development team." (Showcase your leadership and team-building capabilities.) Company & Culture Questions:

• "What interests you about working at JPMorgan Chase, specifically within Corporate Technology?" (Research the company's mission, values, and recent tech initiatives. Connect your skills to their goals.)

• "How do you approach collaboration with Product Managers and UX Designers to ensure a successful product outcome?" (Emphasize your communication, empathy, and ability to balance technical feasibility with user needs.)

• "What are your thoughts on the responsible use of AI in software engineering? How do you ensure data sensitivity and security when using AI tools?" (Demonstrate an understanding of ethical AI practices relevant to financial services.) Portfolio Presentation Strategy:

• Structure Your Narrative: For each project, clearly define the problem, your role and contributions, the technical solutions implemented (especially React and API integrations), the impact (quantified where possible), and lessons learned.

• Emphasize Leadership: Clearly delineate your leadership contributions – architectural decisions, mentoring, process improvements, driving AI tool adoption.

• Showcase AI Tool Usage: Dedicate specific time to demonstrate how you've used AI tools. Explain the benefits realized and how you ensured correctness, security, and responsible usage.

• Technical Deep Dive: Be prepared to answer in-depth technical questions about your code, architecture, and technology choices.

• Connect to the Role: Tailor your presentation to highlight aspects most relevant to the Lead Software Engineer - UI role at JPMorgan Chase, such as enterprise development, design systems, and AI integration within a financial context.

📝 Enhancement Note: Preparation should focus on demonstrating not only strong technical skills but also leadership potential, strategic thinking, and a clear understanding of how to apply modern development practices, including AI, within the demanding environment of a financial institution.

📌 Application Steps

To apply for this Lead Software Engineer - UI position:

• Submit your application through the provided Oracle Cloud portal link.

• Portfolio Customization: Prepare a portfolio or select projects that prominently feature your expertise in React, enterprise UI development, API integrations, and any experience with AI-assisted development tools. Focus on showcasing leadership and impact.

• Resume Optimization: Tailor your resume to highlight your 8+ years of software engineering experience, 3+ years of technical leadership, specific skills in React, TypeScript, and enterprise design systems, and any experience with AI tools. Use keywords from the job description.

• Interview Preparation: Practice answering behavioral and technical questions, especially those related to leadership, AI-assisted development, and enterprise architecture. Prepare a compelling presentation of your portfolio.

• Company Research: Familiarize yourself with JPMorgan Chase's mission, values, and recent technology initiatives, particularly in Corporate Technology and AI adoption. Understand their commitment to security and compliance in financial services.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.