Lead UI Engineer

📍 Job Overview

Job Title: Lead UI Engineer

Company: JPMorgan Chase & Co.

Location: Jersey City, NJ, US

Job Type: Full time

Category: Technology / Software Engineering

Date Posted: 2026-07-28

Experience Level: 5-10 Years

Remote Status: On-site

🚀 Role Summary

• Design, develop, and deliver secure, stable, and scalable market-leading technology products within the Wholesale Credit Risk Core Platform.

• Implement critical technology solutions across various technical areas, interfacing with a Spring Boot back-end and deploying on Kubernetes-based platforms.

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

• Ensure efficient and well-controlled deployments via a build server, contributing to system stability and efficiency.

• Produce architecture and design artifacts for complex applications, ensuring design constraints are met by software code development.

📝 Enhancement Note: The role is focused on front-end engineering with a strong emphasis on modern JavaScript frameworks (React, TypeScript), cloud-native deployments (Kubernetes), and the integration of AI-assisted engineering practices. This suggests a need for individuals who can not only build robust UIs but also contribute to the platform's architectural integrity and operational efficiency within a regulated financial environment.

📈 Primary Responsibilities

• Execute software solutions, including design, development, and technical troubleshooting, employing non-conventional approaches for complex problem-solving.

• Collaborate closely with multiple teams to gather requirements and create solutions that cater to the needs of a broad user base.

• Develop secure, high-quality production code and maintain algorithms that operate synchronously with relevant systems.

• Lead and drive the team's adoption of enterprise-authorized AI-assisted engineering practices, including code review, refactoring, test acceleration, and incident analysis, while establishing validation standards.

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

• Continuously enhance system stability and operational efficiency through proactive measures and optimization.

• Produce detailed architecture and design artifacts for complex applications, holding accountability for ensuring that software code development adheres to specified design constraints.

• Actively contribute to software engineering communities of practice and participate in events focused on emerging technologies.

• Foster a team culture that champions diversity, opportunity, inclusion, and respect.

📝 Enhancement Note: The responsibilities highlight a blend of core software engineering duties with a significant leadership component in adopting and guiding the use of AI in the development lifecycle. This implies a need for a candidate who is not only technically proficient but also a strong communicator and change agent within the team.

🎓 Skills & Qualifications

Education: Formal training or certification on software engineering concepts and applied experience.

Experience: Hands-on practical experience in system design, application development, testing, and operational stability.

Required Skills:

• Solid development experience in Javascript, Typescript, and React, or similar modern front-end technologies.

• Demonstrated experience leading the effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting).

• 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 engineers on safe, compliant adoption of AI within delivery practices.

• Experience in developing, debugging, and maintaining code in a large corporate environment using modern programming languages and database querying languages.

• Overall knowledge of the Software Development Life Cycle (SDLC).

• Solid understanding of agile methodologies, including Continuous Integration/Continuous Deployment (CI/CD), application resiliency, and security best practices.

• Solid experience with cloud deployment solutions such as Kubernetes. Preferred 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.

📝 Enhancement Note: The qualifications emphasize a strong foundation in front-end development with specific modern languages and frameworks, coupled with practical experience in system design and cloud infrastructure. The prominent inclusion of AI-assisted engineering skills and responsible AI usage indicates a forward-looking approach to development and a requirement for candidates to be adept at integrating new technologies responsibly within a regulated environment.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase of complex front-end application designs and implementations, demonstrating proficiency in React and TypeScript.

• Examples of system design artifacts, including architecture diagrams and technical specifications relevant to scalable web applications.

• Case studies detailing contributions to operational stability and efficiency improvements within previous projects.

• Demonstrations of experience with CI/CD pipelines and Kubernetes deployments, highlighting process automation and control.

• Evidence of leading or significantly contributing to the adoption of new development methodologies, particularly AI-assisted engineering practices. Process Documentation:

• Workflow design and optimization for front-end development processes, including agile ceremonies and SDLC phases.

• Implementation and automation methods for build, test, and deployment pipelines, with a focus on efficiency and control.

• Measurement and performance analysis of application stability, user experience, and development team productivity.

• Documentation of responsible AI usage guidelines and validation standards implemented within development workflows.

📝 Enhancement Note: For a Lead UI Engineer role, a portfolio should not only showcase technical skills but also leadership in process improvement and technology adoption. Emphasis on AI integration, deployment efficiency, and system stability within a financial context is critical. Candidates should be prepared to articulate the "how" and "why" behind their process contributions.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for a Lead UI Engineer with 5-10 years of experience in the New York metropolitan area, the estimated salary range is $152,000 to $215,000 annually. This range accounts for the advanced technical skills, leadership responsibilities, and the specialized domain of financial risk technology.

Benefits:

• Comprehensive health care coverage, including medical, dental, and vision plans.

• Retirement savings plan, such as a 401(k) with company match.

• Backup childcare services to support work-life balance.

• Tuition reimbursement programs for continued professional development.

• Mental health support resources and employee assistance programs.

• Financial coaching and planning services.

• On-site health and wellness centers for employee well-being.

Working Hours: Standard full-time work week, typically 40 hours, with potential for extended hours as required by project deadlines or critical deployments. Flexibility may be offered based on team agreements and project needs, but the role is primarily on-site.

📝 Enhancement Note: The salary range is estimated based on Glassdoor, LinkedIn Salary, and industry-specific compensation data for Lead UI Engineers in the Jersey City/New York City area, considering JPMorgan Chase's standing as a major financial institution. The benefits listed are directly extracted from the provided text and are standard for large corporations.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Services - specifically within Risk Technology, focusing on Wholesale Credit Risk. The company operates at the intersection of advanced technology and global finance, demanding high standards for security, compliance, and performance.

Company Size: Large Enterprise (JPMorgan Chase & Co. is a global financial services firm with hundreds of thousands of employees). This size implies structured processes, extensive resources, and opportunities for cross-functional impact.

Founded: JPMorgan Chase & Co. has a history spanning over 200 years, indicating a stable, established organization with a deep legacy in financial services.

Team Structure:

• The role is part of the Wholesale Credit Risk Core Platform team, focusing on building a standardized software platform.

• Likely composed of multiple agile squads, each with specialized roles in front-end, back-end, QA, DevOps, and product management.

• Collaboration is expected across technology teams, business units within Wholesale Credit Risk, and potentially other technology platforms within JPMorgan Chase. Methodology:

• Agile methodologies (CI/CD, Applicant Resiliency) are core to the development process.

• A strong emphasis is placed on secure coding, peer review, and automated testing.

• The platform leverages Kubernetes for deployment on private and public clouds, indicating a DevOps and cloud-native approach.

• AI-assisted engineering practices are being actively integrated to improve efficiency and quality.

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

📝 Enhancement Note: The company culture is characterized by its deep financial industry roots, large-scale operations, and a commitment to leveraging cutting-edge technology. For operations professionals, this means working within a highly regulated, secure, and performance-driven environment that values stability, innovation, and continuous improvement. The emphasis on AI integration suggests a company that is embracing modern development paradigms.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a "Lead" UI Engineer, indicating a senior individual contributor or team lead role. It requires not only advanced technical expertise in front-end development but also the ability to guide technical direction, mentor junior engineers, and influence team practices, particularly around new technologies like AI.

Reporting Structure: The Lead UI Engineer will likely report to a Technology Manager or Engineering Lead within the Risk Technology group. They will work closely with Product Managers, Architects, and other senior engineers across different functional areas.

Operations Impact: The Wholesale Credit Risk Core Platform is foundational to the firm's risk management capabilities. The UI Engineer's work directly impacts the efficiency, accuracy, and security of how credit risk is managed, which is critical for the firm's financial health and regulatory compliance. Improvements in deployment efficiency and code quality directly contribute to faster delivery of critical risk insights and features.

Growth Opportunities:

• Technical Specialization: Deepen expertise in React, TypeScript, Kubernetes, cloud-native architectures, and AI-assisted development tools.

• Leadership Development: Transition into management roles (e.g., Engineering Manager), lead larger technical initiatives, or become a Principal Engineer/Architect.

• Cross-Functional Exposure: Gain broader understanding of financial risk management, enterprise architecture, and other technology domains within JPMorgan Chase.

• AI & Emerging Tech: Become a subject matter expert in applying AI to software engineering within a regulated financial environment.

📝 Enhancement Note: The "Lead" title implies a significant step up from a mid-level role, requiring leadership in technical strategy, process adoption, and team mentorship. Growth opportunities are likely structured within JPMorgan Chase's large corporate framework, offering diverse paths from deep technical expertise to people management and strategic architecture.

🌐 Work Environment

Office Type: The role is specified as "On-site" in Jersey City, NJ. This suggests a traditional office environment within a major financial institution's campus.

Office Location(s): 480 Washington Blvd, Jersey City, NJ 07310. This location is likely a corporate office building equipped with amenities typical of large financial firms.

Workspace Context:

• Collaborative Environment: Expect a dynamic, team-oriented workspace designed for collaboration, likely featuring open-plan areas, meeting rooms, and quiet zones.

• Operations Tools & Technology: Access to enterprise-grade hardware, software, and robust network infrastructure will be standard. The team will utilize a sophisticated SDLC toolchain, including advanced IDEs, version control systems, CI/CD platforms, and collaboration tools.

• Team Interaction: Frequent interaction with fellow engineers, product managers, architects, and potentially business stakeholders, fostering a culture of shared problem-solving and knowledge exchange.

Work Schedule: The standard work schedule is likely Monday to Friday, with an expectation of 40 hours per week. While adherence to a strict schedule is common in finance, there may be flexibility for project needs and agile team agreements, provided core responsibilities and collaboration needs are met.

📝 Enhancement Note: The on-site requirement in a major financial hub like Jersey City suggests a professional, structured work environment. Operations professionals in such settings benefit from established processes and direct access to colleagues and infrastructure, which is crucial for complex project execution and rapid problem resolution.

📄 Application & Portfolio Review Process

Interview Process:

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

• Technical Interviews: Multiple rounds focusing on core UI engineering skills (JavaScript, TypeScript, React), system design, problem-solving, and algorithmic thinking. Expect coding challenges and architectural discussions.

• AI/ML Integration Interview: Specific focus on experience with AI-assisted engineering tools, responsible AI usage, and ability to guide team adoption.

• Behavioral Interview: Assessment of leadership qualities, teamwork, communication, conflict resolution, and alignment with company values.

• Hiring Manager/Team Lead Interview: Final discussion to gauge overall fit, career aspirations, and strategic thinking.

Portfolio Review Tips:

• Showcase Diverse Projects: Include examples of complex front-end applications, highlighting your role and contributions.

• Detail Technical Choices: Explain why you chose specific technologies (React, TypeScript), architectural patterns, and AI tools for a given problem.

• Quantify Impact: Use metrics to demonstrate improvements in performance, efficiency, code quality, or user experience resulting from your work.

• Highlight Leadership: Provide examples of how you've mentored others, influenced technical decisions, or led the adoption of new practices (especially AI).

• Structure for Clarity: Organize your portfolio logically, perhaps by project type or skill area, with clear descriptions and easy navigation.

Challenge Preparation:

• Coding Challenges: Practice LeetCode-style problems focusing on algorithms, data structures, and JavaScript efficiency.

• System Design: Prepare to design scalable front-end architectures, considering performance, security, and maintainability. Think about component reusability and state management.

• AI Integration Scenarios: Be ready to discuss how you would integrate AI tools into a team's workflow, potential challenges, and validation strategies.

• Behavioral Questions: Prepare STAR method (Situation, Task, Action, Result) responses for common leadership and teamwork scenarios.

📝 Enhancement Note: Candidates should prepare to demonstrate not only strong technical proficiency but also a strategic understanding of how to integrate emerging technologies like AI responsibly and effectively within a large, regulated financial institution. A well-curated portfolio that showcases problem-solving and leadership is essential.

🛠 Tools & Technology Stack

Primary Tools:

• Front-end Frameworks: React, TypeScript, JavaScript (ES6+).

• Styling/UI: HTML, CSS, SVG.

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

• Build Tools: Nx, Maven (for build server integration).

• Version Control: Git.

Analytics & Reporting:

• Performance Monitoring: Tools for tracking application performance, load times, and user experience metrics.

• Frontend Analytics: Tools like Google Analytics, Adobe Analytics, or custom solutions for user behavior tracking.

• CI/CD Pipelines: Jenkins, GitLab CI, or similar for automated builds, testing, and deployments.

CRM & Automation:

• Containerization: Kubernetes for deployment and orchestration.

• Cloud Platforms: Experience with private and public cloud environments.

• Backend Integration: Spring Boot (understanding the interface, not necessarily developing).

• AI-Assisted Development: Enterprise-authorized AI tools for coding assistance, code review, test acceleration, and troubleshooting.

📝 Enhancement Note: The technology stack is heavily focused on modern front-end development with a strong emphasis on enterprise-level deployment and operational practices. Proficiency in React and TypeScript is key, alongside experience with containerization (Kubernetes) and a developing understanding of AI integration into the SDLC.

👥 Team Culture & Values

Operations Values:

• Security and Stability: Paramount in financial services. Expect a culture that prioritizes robust security practices, system resilience, and minimizing downtime.

• Innovation and Efficiency: Driving adoption of AI-assisted engineering and modern development practices to deliver value faster and more reliably.

• Collaboration and Inclusivity: Fostering a diverse team environment where all members are respected, and contributions are valued. Emphasis on open communication and constructive feedback.

• Data-Driven Decision Making: Utilizing metrics and analytics to inform development choices, assess performance, and drive continuous improvement.

• Accountability and Ownership: Taking responsibility for code quality, system performance, and project delivery from design through to deployment and maintenance.

Collaboration Style:

• Cross-functional Integration: Close teamwork with back-end engineers, product managers, QA, and DevOps teams. Open communication channels are vital.

• Process Review Culture: Regular retrospectives and code reviews to share knowledge, identify areas for improvement, and ensure adherence to best practices.

• Knowledge Sharing: Encouragement of internal tech talks, documentation, and mentorship to disseminate expertise, particularly around new technologies like AI.

📝 Enhancement Note: The team culture at JPMorgan Chase, especially within a core platform team, is likely to be highly professional, results-oriented, and collaborative, with a strong emphasis on risk management and adherence to compliance standards. The proactive integration of AI suggests a forward-thinking approach within this structured environment.

⚡ Challenges & Growth Opportunities

Challenges:

• Integrating AI Responsibly: Navigating the complexities of integrating AI-assisted tools into a regulated financial environment, ensuring data security, ethical use, and compliance.

• Scalability and Performance: Designing and building UIs that perform optimally under high load and scale efficiently within a large enterprise system.

• Legacy System Interaction: Ensuring seamless integration between modern front-end components and existing back-end systems (like Spring Boot) while contributing to platform modernization.

• Cross-Team Dependency Management: Effectively coordinating development efforts and managing dependencies with multiple internal teams to ensure cohesive platform delivery.

Learning & Development Opportunities:

• Advanced Front-end Technologies: Deepen expertise in React, TypeScript, and emerging front-end patterns.

• Cloud-Native Architecture: Gain hands-on experience with Kubernetes and cloud deployment strategies in a production financial environment.

• AI in Engineering: Become a leader in applying AI tools for software development, contributing to best practices and validation frameworks.

• Financial Domain Knowledge: Develop a strong understanding of Wholesale Credit Risk and its technological implications.

• Leadership and Mentorship: Opportunities to lead technical initiatives, mentor junior engineers, and contribute to architectural decisions.

📝 Enhancement Note: The challenges presented are typical for senior roles in large financial institutions, requiring a blend of technical expertise, strategic thinking, and strong communication skills. The growth opportunities are substantial, offering paths for deep technical specialization or broader leadership roles within the organization.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to design a complex UI component that needed to be highly performant and scalable. What was your approach, and what were the key challenges?" (Focus on system design, performance optimization, and problem-solving.)

• "How would you lead your team in adopting and validating AI-assisted coding tools? What are the potential risks, and how would you mitigate them within a financial services context?" (Focus on AI integration, leadership, risk management, and responsible AI use.)

• "Walk us through your process for ensuring the stability and efficiency of your front-end deployments, especially when integrating with backend services like Spring Boot." (Focus on SDLC, CI/CD, Kubernetes, and operational stability.) Company & Culture Questions:

• "Given JPMorgan Chase's focus on security and compliance, how would you ensure that AI-generated code meets our stringent standards?" (Focus on responsible AI, security, and regulatory awareness.)

• "How do you contribute to a culture of diversity, inclusion, and respect within your engineering teams?" (Focus on teamwork, mentorship, and company values.)

• "How do you measure the success and impact of your front-end development work, especially concerning system stability and efficiency?" (Focus on metrics, ROI, and impact assessment.) Portfolio Presentation Strategy:

• Case Study Structure: For each project, clearly outline the problem, your proposed solution (including specific technologies and AI tools used), your role and contributions, the challenges faced, and the measurable outcomes (performance gains, efficiency improvements, stability metrics).

• Metrics & ROI: Quantify achievements wherever possible. For instance, "Reduced load time by X%", "Increased developer productivity by Y% through AI code assistance," or "Improved deployment success rate to Z%."

• Interactive Demonstration: Be prepared to walk through a live demo or provide code snippets that best illustrate your skills and the impact of your work. Highlight specific patterns or solutions that showcase your leadership and technical depth.

📝 Enhancement Note: Interview preparation should focus on demonstrating technical leadership, a strong understanding of modern front-end development, and a thoughtful, responsible approach to integrating AI within a regulated financial environment. Candidates must be ready to articulate their thought processes and quantify their impact.

📌 Application Steps

To apply for this Lead UI Engineer position:

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

• Portfolio Customization: Tailor your resume and any portfolio links to prominently feature your experience with React, TypeScript, system design, Kubernetes, and particularly your leadership in adopting AI-assisted engineering practices. Showcase specific examples of how you've improved efficiency or stability.

• Resume Optimization: Ensure your resume clearly highlights your 5-10 years of experience, relevant technical skills (Javascript, Typescript, React, Kubernetes, CI/CD), and any experience in financial services or risk technology. Use keywords from the job description naturally.

• Interview Preparation: Practice articulating your experience using the STAR method for behavioral questions. Prepare to discuss technical challenges, system design approaches, and your strategies for integrating AI responsibly. Have specific examples ready for your portfolio walkthrough.

• Company Research: Familiarize yourself with JPMorgan Chase's mission, values, and their approach to technology, innovation, and risk management. Understand their commitment to AI and how it aligns with their business objectives.

⚠️ 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.

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