Software Engineer III - UX/UI

📍 Job Overview

Job Title: Software Engineer III - UX/UI

Company: JPMorgan Chase & Co.

Location: Bengaluru, Karnataka, India

Job Type: Full time

Category: Software Engineering - UX/UI Design

Date Posted: 2026-06-25

Experience Level: 2-5 Years

Remote Status: On-site

🚀 Role Summary

• Design and deliver intuitive, user-centric digital experiences across enterprise platforms by translating business requirements into effective interaction and visual design.

• Build reusable UI components and front-end applications using modern frameworks (React, Angular, or similar) and core web technologies (JavaScript, HTML5, CSS3).

• Leverage AI-assisted design and development practices, including AI-driven prototyping, design automation, AI copilots, and automated UX recommendations.

• Integrate front-end solutions with application programming interfaces (APIs) and back-end services, delivering secure, stable, and scalable production code.

📝 Enhancement Note: This role is designated as Software Engineer III, indicating a mid-level position requiring a solid foundation in software engineering principles, specifically within UX/UI design. The emphasis on enterprise platforms suggests a focus on large-scale, internal-facing applications that support critical business functions within JPMorgan Chase. The integration of AI-assisted tools highlights a forward-thinking approach to development within a large financial institution.

📈 Primary Responsibilities

• Design and deliver intuitive, user-centric digital experiences across enterprise platforms by translating business requirements into effective interaction and visual design.

• Build reusable UI components and front-end applications using modern frameworks (React, Angular, or similar) and core web technologies (JavaScript, HTML5, CSS3).

• Leverage AI-assisted design and development practices, including AI-driven prototyping and ideation, design automation, AI copilots, automated UX recommendations, and personalization informed by user behavior insights.

• Integrate front-end solutions with application programming interfaces (APIs) and back-end services, delivering secure, stable, and scalable production code that supports business objectives.

• Troubleshoot and execute software solutions that break down complex problems beyond routine approaches while improving code quality and strengthening system architecture.

• Produce architecture and design artifacts for complex applications and ensure design constraints are met through high-quality software development.

• Analyze large, diverse data sets and develop visualizations and reporting to drive continuous improvement, contribute to engineering communities of practice, and strengthen a culture of diversity, opportunity, inclusion, and respect.

• Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contribute learnings and reusable patterns to improve broader team effectiveness.

• Apply knowledge of tools within the Software Development Life Cycle (SDLC) toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

📝 Enhancement Note: The responsibilities clearly outline a blend of core UX/UI design and front-end development tasks, augmented by a strong emphasis on AI-assisted tools and practices. The requirement to analyze data and develop visualizations points towards a data-informed design approach. The mention of contributing to engineering communities of practice and fostering a culture of diversity and inclusion suggests an expectation of active participation in team and organizational development.

🎓 Skills & Qualifications

Education: Formal training or certification on software engineering concepts.

Experience: 3+ years of applied experience in software engineering with a focus on UX/UI.

Required Skills:

• Relevant experience designing and delivering intuitive, user-centric UX/UI experiences across enterprise platforms.

• Demonstrated understanding of UX/UI principles, usability, and interaction design, including translating requirements into high-quality user experiences.

• Hands-on experience with JavaScript, HTML5, and CSS3.

• Hands-on experience with a modern front-end framework such as React, Angular, or similar.

• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.

• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.

• Experience leveraging AI-assisted development or design tools (for example, AI copilots and design automation tools) to support UX/UI work.

• Experience integrating front-end applications with APIs and back-end services in a production environment.

• Experience delivering secure, stable, and scalable code within an agile delivery model. Preferred Skills:

• Experience building and maintaining enterprise design systems and reusable component libraries.

• Experience applying accessibility best practices (for example, WCAG-aligned design and development).

• Experience with data visualization techniques to support reporting and product insights.

• Experience applying AI-assisted personalization approaches informed by user behavior insights.

📝 Enhancement Note: The required skills emphasize practical application in modern front-end technologies and a strong understanding of UX/UI principles. The explicit requirement for experience with enterprise-authorized AI tools is a key differentiator. Preferred skills indicate a desire for candidates who can contribute to broader design infrastructure and advanced user experience strategies, including accessibility and personalization.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase of at least three distinct enterprise-level UX/UI design projects, demonstrating a clear understanding of complex system integration and user needs within a corporate environment.

• For each project, provide a detailed breakdown of the problem statement, your specific role and contributions, the design process followed (including user research, wireframing, prototyping, and user testing), and the final implemented solution.

• Highlight your experience with modern front-end frameworks (React, Angular, etc.) and core web technologies (JavaScript, HTML5, CSS3) through code samples or live demos where applicable.

• Demonstrate your ability to integrate front-end solutions with APIs and back-end services, with examples of how you ensured secure, stable, and scalable code delivery. Process Documentation:

• Evidence of creating and maintaining design system components, architectural artifacts, and design constraints documentation for complex applications.

• Examples of how you've applied AI-assisted design and development tools in your workflow, documenting the impact on efficiency, code quality, and user experience.

• Documentation of user research methodologies, usability testing results, and how these insights informed iterative design improvements.

• Showcase of data analysis and visualization work that led to actionable insights and continuous improvement of user interfaces or platform features.

📝 Enhancement Note: Given the "Engineer III" title and the emphasis on enterprise platforms, a robust portfolio is expected. Candidates should be prepared to articulate their design process, technical contributions, and the impact of their work. The inclusion of AI-assisted tools and data visualization in the portfolio will be highly advantageous.

💵 Compensation & Benefits

Salary Range: Based on the role (Software Engineer III), experience level (2-5 years), and location (Bengaluru, India), a competitive salary range for this position is estimated to be between ₹1,200,000 to ₹2,500,000 per annum. This estimate accounts for industry standards for mid-level software engineers in the Indian IT sector, with adjustments for the specific domain of UX/UI and the prestige of working for a global financial institution like JPMorgan Chase. The higher end of the range would typically be for candidates with exceptional skills, extensive experience, and a proven track record in AI-assisted development.

Benefits:

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

• Retirement savings plans or provident fund contributions.

• Paid time off, including vacation days, sick leave, and public holidays.

• Professional development opportunities, including training, workshops, and conference attendance.

• Access to enterprise-authorized AI coding assist tools and other cutting-edge technologies.

• Employee assistance programs for mental health and well-being.

• Potential for performance-based bonuses and stock options (depending on company policy and role level).

• Opportunities for career advancement within a global financial services leader.

Working Hours: 40 hours per week, typical for full-time roles in the IT industry. While standard business hours are expected, flexibility may be available based on team needs and project deadlines, in line with agile methodologies.

📝 Enhancement Note: The salary range provided is an estimation based on industry benchmarks for a mid-level Software Engineer in Bengaluru, India. JPMorgan Chase & Co. is a major global employer, and compensation packages often include extensive benefits beyond base salary. Specific details will be confirmed during the interview process.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Services (Banking & Technology). JPMorgan Chase & Co. operates at the intersection of finance and technology, providing a dynamic environment for innovation and robust infrastructure development. This industry context means a strong emphasis on security, compliance, scalability, and cutting-edge technology adoption.

Company Size: Large Enterprise (over 10,000 employees, globally). This size indicates a vast organizational structure with numerous specialized teams and extensive resources, offering significant opportunities for career growth and cross-functional exposure.

Founded: 2000 (JPMorgan Chase & Co. as it is known today, with roots tracing back much further). This long history signifies stability, deep industry expertise, and a well-established corporate culture.

Team Structure:

• The role is within the "Infrastructure Platforms Team," suggesting a focus on building and maintaining the foundational technology that supports the company's various business lines.

• This team likely comprises specialized engineers in areas such as cloud infrastructure, cybersecurity, developer tools, and front-end platforms.

• Reporting structure is expected to be hierarchical, with clear lines of management and team leads overseeing specific project areas or technology stacks. Methodology:

• Data-driven decision-making is paramount in financial services, so expect a strong emphasis on analyzing metrics, user feedback, and performance data to guide design and development.

• Agile development methodologies (Scrum, Kanban) are standard for rapid iteration and efficient delivery of software solutions.

• A culture of continuous improvement, leveraging AI and automation to enhance processes and outcomes, is a key focus for this role.

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

📝 Enhancement Note: JPMorgan Chase & Co. is a Fortune 100 company with a significant global footprint. The "Infrastructure Platforms Team" likely plays a crucial role in enabling the company's digital transformation and operational efficiency. Expect a culture that values innovation, security, and collaboration within a highly regulated environment.

📈 Career & Growth Analysis

Operations Career Level: Software Engineer III is a mid-level engineering role. It signifies a transition from primarily executing tasks to taking ownership of significant features or components, contributing to technical design discussions, and potentially mentoring junior engineers. Professionals at this level are expected to solve complex problems independently and deliver high-quality, scalable solutions.

Reporting Structure: Typically, a Software Engineer III would report to a Software Engineering Manager or a Lead Engineer. They would work closely with Product Managers, UX Designers, Architects, and other engineers within their team and potentially collaborate with engineers from other platform teams or business units.

Operations Impact: This role directly impacts the usability, efficiency, and stability of enterprise platforms. By improving the user experience and front-end architecture, the engineer contributes to increased developer productivity, reduced operational friction, and ultimately, the successful delivery of business-critical applications. The integration of AI and modern development practices further enhances this impact by driving innovation and efficiency.

Growth Opportunities:

• Technical Specialization: Deepen expertise in specific front-end frameworks, AI-assisted development, accessibility, or data visualization.

• Leadership Development: Progress to a Senior Software Engineer role, taking on more complex projects, leading feature development, and mentoring junior team members.

• Architectural Design: Move into roles focused on system architecture, influencing the technical direction and design of enterprise platforms.

• Cross-functional Mobility: Explore opportunities in product management, program management, or specialized areas within the broader technology organization.

• AI & Machine Learning Focus: With the emphasis on AI tools, there's a clear path to specialize further in AI-driven development, prompt engineering for code generation, or integrating ML models into front-end applications.

📝 Enhancement Note: JPMorgan Chase offers extensive resources for professional development. For a Software Engineer III, growth is typically charted through increased technical complexity, leadership responsibilities, and specialization. The emphasis on AI tools suggests a strategic investment in this area, creating unique growth opportunities.

🌐 Work Environment

Office Type: The role is on-site in Bengaluru, India, within an Embassy Tech Village location, suggesting a modern, well-equipped corporate office environment typical of large technology hubs. This setting usually includes dedicated workspaces, collaborative areas, and amenities designed to support employee productivity and well-being.

Office Location(s): Embassy Tech Village, Outer Ring Road, Deverabeesanahalli Villa, Bengaluru, Karnataka, India. This is a prominent IT business park, well-connected and hosting various technology companies.

Workspace Context:

• Collaborative Environment: Expect open-plan office spaces, meeting rooms, and informal gathering areas designed to foster teamwork and knowledge sharing among engineers, designers, and product stakeholders.

• Operations Tools & Technology: Access to high-performance workstations, enterprise-grade software licenses, and robust network infrastructure necessary for complex development and AI tool usage.

• Team Interaction: Regular team meetings, stand-ups, design reviews, and cross-functional syncs are standard, promoting constant communication and alignment on project goals.

Work Schedule: Standard full-time hours (approximately 40 hours per week) are expected, generally aligning with local business hours in India (Asia/Kolkata timezone). While core hours may apply, agile practices often allow for some flexibility in daily scheduling to accommodate project needs and team collaboration, especially with global teams.

📝 Enhancement Note: Working on-site in a major tech hub like Bengaluru provides access to a vibrant ecosystem and fosters direct collaboration. The company's infrastructure will support the demands of complex software engineering and AI tool usage.

📄 Application & Portfolio Review Process

Interview Process:

• Application Screening: Initial review of resume and portfolio against required qualifications.

• Technical Screening: A call with a recruiter or hiring manager to assess basic qualifications, experience, and cultural fit.

• Technical Interview(s): Multiple rounds focusing on coding proficiency, problem-solving skills, UX/UI principles, framework knowledge (React/Angular), and experience with AI-assisted tools. Expect coding challenges, system design questions, and scenario-based problem-solving.

• Portfolio Presentation: A dedicated session where candidates present their portfolio, discussing their projects, design process, technical contributions, and the impact of their work. This is a critical stage to demonstrate practical application of skills.

• Behavioral Interview: Questions assessing teamwork, communication, problem-solving approach, and alignment with JPMorgan Chase's values.

• Final Round/Offer: Discussion with senior leadership or hiring manager for final approval and offer extension.

Portfolio Review Tips:

• Curate Strategically: Select 3-5 of your strongest projects that best showcase your UX/UI design skills, front-end development capabilities, and experience with enterprise platforms.

• Tell a Story: For each project, clearly articulate the problem, your role, the design process (research, ideation, prototyping, testing), technical implementation, and the measurable outcomes or impact. Use visuals effectively.

• Highlight AI Integration: Explicitly demonstrate how you've used AI-assisted tools in your workflow, the benefits achieved (e.g., faster prototyping, improved code quality), and how you validated AI-generated outputs.

• Showcase Technical Depth: Be prepared to discuss your code, the frameworks used, API integrations, and any challenges faced during development.

• Emphasize Impact: Quantify results wherever possible (e.g., improved conversion rates, reduced task completion time, enhanced user satisfaction scores).

Challenge Preparation:

• Coding Practice: Brush up on JavaScript, HTML, CSS, and your chosen front-end framework (React/Angular). Practice common coding challenges on platforms like LeetCode or HackerRank.

• System Design: Prepare for questions on designing scalable and maintainable front-end architectures, component libraries, and API integrations.

• UX/UI Fundamentals: Review core principles of interaction design, usability testing, accessibility (WCAG), and user research methodologies.

• AI Tool Familiarity: Be ready to discuss your experience with AI coding assistants, design tools, and your understanding of responsible AI usage in a corporate setting.

📝 Enhancement Note: The interview process at a firm like JPMorgan Chase is thorough. Candidates should prepare to demonstrate both technical prowess and a strong understanding of user-centered design principles, especially within the context of large-scale enterprise systems and emerging AI technologies. The portfolio presentation is a key differentiator.

🛠 Tools & Technology Stack

Primary Tools:

• Front-End Frameworks: React, Angular (proficiency in at least one required).

• Core Web Technologies: JavaScript (ES6+), HTML5, CSS3, Sass/LESS.

• AI-Assisted Development Tools: Enterprise-authorized AI coding assistants (e.g., GitHub Copilot, internal tools), AI design prototyping tools, AI-driven UX recommendation engines.

• Version Control: Git, GitHub/GitLab/Bitbucket.

• Build Tools: Webpack, Babel, npm/Yarn.

Analytics & Reporting:

• Analytics Platforms: Google Analytics, Adobe Analytics, or similar enterprise-level tracking tools for user behavior analysis.

• Data Visualization Libraries: D3.js, Chart.js, or similar for creating interactive dashboards and reports.

• BI Tools: Tableau, Power BI (familiarity may be beneficial for understanding data insights).

CRM & Automation:

• API Integration Tools: Postman, Insomnia for API testing and development.

• Design & Prototyping Tools: Figma, Sketch, Adobe XD (for design workflows).

• Project Management Tools: Jira, Confluence (common in agile environments).

📝 Enhancement Note: Proficiency in modern front-end frameworks and core web technologies is essential. The explicit mention of enterprise-authorized AI coding assist tools indicates a significant focus on leveraging AI to enhance the development lifecycle. Familiarity with data visualization and analytics tools is also valuable for driving informed design decisions.

👥 Team Culture & Values

Operations Values:

• Integrity & Trust: Upholding the highest ethical standards in all aspects of design and development, particularly crucial in the financial sector. This means ensuring data privacy, security, and reliable system performance.

• Innovation: Actively seeking and applying new technologies, including AI, to improve user experiences, development processes, and platform capabilities. Encouraging experimentation and a forward-thinking mindset.

• Collaboration: Working effectively across diverse teams (engineering, product, business lines) to achieve shared goals. Valuing diverse perspectives and fostering an inclusive environment.

• Excellence: Striving for high-quality, robust, and scalable solutions. A commitment to continuous learning and improvement in technical skills and design practices.

• Customer Focus: Designing with the end-user (whether an external customer or internal employee) at the forefront, ensuring intuitive, efficient, and satisfying experiences.

Collaboration Style:

• Cross-functional Integration: Expect close collaboration with product managers to understand business requirements, with backend engineers for API integration, and with QA teams for testing. Regular sync-ups and shared documentation will be key.

• Process Review Culture: A willingness to participate in code reviews, design critiques, and retrospective meetings to share feedback, identify areas for improvement, and collectively enhance processes and outputs.

• Knowledge Sharing: Encouraging the sharing of best practices, learnings from AI tool usage, and technical insights through internal documentation, tech talks, or communities of practice to elevate the entire engineering organization.

📝 Enhancement Note: JPMorgan Chase emphasizes a culture of integrity, innovation, and collaboration. Candidates should be prepared to demonstrate how their work aligns with these values, particularly in a high-stakes financial environment. The integration of AI tools is a key aspect of the company's innovation strategy.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Enterprise Complexity: Designing for large, established enterprise platforms often involves dealing with legacy systems, strict security protocols, and diverse user needs across multiple business units.

• Balancing Innovation with Stability: Integrating cutting-edge AI technologies while maintaining the security, stability, and scalability required by a global financial institution presents a unique challenge.

• Effective AI Integration: Learning to effectively leverage AI-assisted tools, critically evaluate their outputs, and guide peers on responsible usage requires continuous learning and adaptation.

• Cross-functional Alignment: Ensuring seamless integration and communication across numerous teams with potentially different priorities and technical stacks.

Learning & Development Opportunities:

• AI Tool Mastery: Deepen expertise in leveraging AI for coding, testing, design, and personalization, becoming a go-to resource for AI-assisted development within the team.

• Enterprise Design Systems: Gain extensive experience in building and maintaining robust, scalable design systems that serve a vast organization.

• Accessibility Expertise: Become a champion for accessibility, ensuring all developed interfaces meet stringent WCAG standards.

• Advanced Front-End Architecture: Develop skills in designing complex, performant, and maintainable front-end architectures for large-scale applications.

• Mentorship & Leadership: Progress to mentoring junior engineers, leading feature development, and potentially moving into technical leadership or architectural roles.

📝 Enhancement Note: The role offers significant opportunities to tackle complex technical challenges within a stable, resource-rich environment. The focus on AI integration provides a direct pathway to developing highly sought-after skills in the evolving tech landscape.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex enterprise platform you've designed UX/UI for. What were the key challenges, and how did you address them using modern front-end practices and AI tools?" (Focus on problem framing, process, technical solutions, and AI's role).

• "How do you ensure your designs are both user-centric and meet strict enterprise security and scalability requirements? Provide an example." (Highlight balance between user needs and corporate constraints).

• "Walk us through your process for integrating a new front-end feature with existing APIs. How do you ensure code quality, security, and performance?" (Detail API interaction, testing, and validation).

• "Discuss your experience with AI-assisted development tools. How have you used them, what are their limitations, and how do you validate their outputs?" (Demonstrate critical evaluation and responsible AI usage). Company & Culture Questions:

• "Why are you interested in working at JPMorgan Chase, specifically within the Infrastructure Platforms Team?" (Research the company's mission, values, and recent tech initiatives).

• "How do you contribute to a culture of innovation and collaboration in your team?" (Provide specific examples of your proactive contributions).

• "How do you approach learning new technologies or adapting to changes in the development landscape, especially with rapidly evolving AI tools?" (Showcase a growth mindset). Portfolio Presentation Strategy:

• Structure: Begin with a brief overview of your career and core strengths, then dive into 2-3 key projects. For each, clearly state the objective, your role, the problem, your process, technical details (including AI usage), and the impact/results.

• Visuals: Use high-quality mockups, wireframes, prototypes, and relevant code snippets or architecture diagrams. Show before-and-after comparisons where applicable.

• Narrative: Tell a compelling story for each project. Focus on the "why" and "how," not just the "what."

• AI Integration Focus: Dedicate specific points to how AI tools aided your design or development process, the specific benefits realized, and how you ensured the quality and security of AI-generated outputs.

• Q&A Readiness: Anticipate questions about your design decisions, technical choices, challenges faced, and the quantifiable results of your work. Be ready to elaborate on any aspect of your portfolio.

📝 Enhancement Note: Preparation should focus on demonstrating a blend of strong UX/UI fundamentals, robust front-end engineering skills, practical experience with AI tools, and an understanding of enterprise-level development within a regulated industry. Quantifiable results and a clear articulation of the design and development process are crucial.

📌 Application Steps

To apply for this Software Engineer III - UX/UI position:

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

• Customize Your Resume: Tailor your resume to highlight experience with React/Angular, JavaScript, HTML5, CSS3, UX/UI principles, API integration, and any explicit experience with AI-assisted development tools. Use keywords from the job description.

• Prepare Your Portfolio: Curate a strong portfolio showcasing 2-3 enterprise-level UX/UI projects. Ensure it clearly details your process, technical contributions, and the impact of your work, with a specific section on AI tool usage.

• Practice Interview Questions: Rehearse answers to technical, behavioral, and situational questions, focusing on your experience with enterprise platforms, AI tools, and your problem-solving approach.

• Research JPMorgan Chase: Understand the company's mission, values, and recent technological advancements, especially in AI and infrastructure. Prepare questions to ask the interviewer that demonstrate your engagement and understanding.

⚠️ 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.