Software Engineer III-UI Developer

📍 Job Overview

Job Title: Software Engineer III - UI Developer

Company: JPMorgan Chase & Co.

Location: Bengaluru, Karnataka, India

Job Type: Full time

Category: Software Engineering / Frontend Development

Date Posted: 2026-06-22T05:21:08

Experience Level: Mid-Level (3+ years)

Remote Status: On-site

🚀 Role Summary

• Design, develop, and deploy robust, secure, and scalable front-end applications within the Commercial & Investment Bank Payments Technology team.

• Contribute to an agile environment, focusing on delivering high-quality, market-leading technology products.

• Leverage and critically evaluate enterprise-authorized AI coding assist tools to enhance code quality, delivery speed, and productivity.

• Implement and operate front-end applications on AWS, ensuring security, performance, and efficient deployment pipelines.

• Collaborate with cross-functional teams to troubleshoot technical challenges and drive continuous improvement in software applications and systems.

📝 Enhancement Note: The role is explicitly for a UI Developer with a strong emphasis on front-end engineering, specifically within the financial services sector (Commercial & Investment Bank Payments Technology). The integration of AI coding tools and AWS deployment are key differentiators for this position.

📈 Primary Responsibilities

• Design and implement complex, secure, and high-quality front-end solutions using modern JavaScript frameworks and core web technologies.

• Develop and maintain dynamic, responsive UIs with strong proficiency in React, JSX, HTML5, and CSS.

• Manage front-end application state effectively using tools like Redux, ensuring seamless user experiences.

• Architect and build robust CI/CD pipelines for S3/CloudFront deployments, including environment promotion, rollbacks, and smoke tests.

• Deploy and operate front-end applications on AWS, utilizing S3 for static hosting and CloudFront for CDN services, including cache invalidation and versioning strategies.

• Implement comprehensive security measures for AWS deployments, including S3 Block Public Access, CloudFront Origin Access, least-privilege IAM, and HTTPS/TLS enforcement.

• Analyze and synthesize data from diverse sources to identify patterns, drive improvements in coding hygiene, and optimize system architecture.

• Troubleshoot and resolve technical issues with an ability to devise innovative solutions beyond conventional approaches.

• Actively contribute to and participate in software engineering communities of practice, exploring emerging technologies.

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

• Critically evaluate, validate, and refine outputs from enterprise-authorized AI-assisted development tools to ensure correctness, performance, and security.

• Guide peers on the safe and effective usage of AI tools within engineering workflows, considering data sensitivity and security.

📝 Enhancement Note: Responsibilities heavily emphasize front-end development, AWS cloud deployment and security, CI/CD automation, and the responsible application of AI coding assistance tools within a regulated financial environment.

🎓 Skills & Qualifications

Education: Formal training or certification on software engineering concepts.

Experience: 3+ years of applied software engineering experience, with a substantial focus on front-end development and practical experience in system design, application development, testing, and operational stability.

Required Skills:

• Strong proficiency in React for building dynamic UIs.

• Expertise in JSX, HTML5, and CSS for responsive layouts.

• Hands-on experience with modern JavaScript frameworks/libraries, particularly React.

• Core web technologies: JavaScript, HTML5, CSS.

• Front-end state management using libraries such as Redux.

• Deployment and operation of front-end applications on AWS using S3 (static hosting) and CloudFront (CDN), including cache invalidation and release/versioning strategies.

• Strong understanding of securing static web hosting on AWS: S3 Block Public Access, CloudFront Origin Access (OAC/OAI), least-privilege IAM, and enforcing HTTPS/TLS via CloudFront.

• Knowledge of edge/web protection concepts including TLS/HTTPS, AWS WAF, and secure HTTP headers (e.g., CSP, frame-ancestors, HSTS).

• Proven experience building CI/CD for S3/CloudFront deployments (build → artifact → upload to S3 → CloudFront invalidation), including environment promotion, rollbacks, and post-deploy smoke checks.

• Hands-on experience using enterprise-authorized AI-assisted software development tools (e.g., for coding, test creation, troubleshooting, documentation) with demonstrated ability to critically evaluate and refine AI-generated outputs.

• 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:

• Familiarity with other modern front-end technologies.

• Exposure to broader cloud technologies and services.

📝 Enhancement Note: The required qualifications are highly specific, detailing not just the front-end technologies but also the intricate AWS deployment and security configurations, alongside a critical requirement for AI tool proficiency and responsible usage.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase projects demonstrating expertise in building dynamic and responsive UIs using React, JSX, HTML5, and CSS.

• Include examples of front-end state management solutions, ideally featuring Redux or similar patterns.

• Present case studies of CI/CD pipeline implementations for front-end applications deployed on AWS S3/CloudFront, detailing environment promotion and rollback strategies.

• Highlight experience with AWS security configurations for static web hosting, such as S3 Block Public Access, CloudFront OAC/OAI, IAM, and HTTPS enforcement.

• Provide examples of integrating and critically evaluating AI-assisted development tools in your workflow, demonstrating how you validated and refined AI-generated code or documentation. Process Documentation:

• Document the architecture and design artifacts for complex front-end applications developed.

• Detail the end-to-end process for building, deploying, and operating front-end applications on AWS, including security considerations and CI/CD workflows.

• Illustrate the methodology used for analyzing diverse data sets to drive continuous improvement in software applications.

• Outline the process for troubleshooting and resolving technical problems using innovative approaches.

📝 Enhancement Note: A portfolio demonstrating practical application of the required skills, especially concerning AWS deployment, security, CI/CD, and AI tool integration, will be crucial. Candidates should be prepared to discuss their thought process and decision-making in these areas.

💵 Compensation & Benefits

Salary Range: For a Software Engineer III role in Bengaluru with 3+ years of experience in a major financial institution like JPMorgan Chase, the estimated annual salary range is ₹15,00,000 to ₹25,00,000. This estimate is based on industry benchmarks for mid-level software engineers in major tech hubs in India, considering the specialized skills in front-end development, AWS, and financial technology.

Benefits:

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

• Retirement savings plans (e.g., Provident Fund).

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

• Opportunities for professional development, training, and certifications.

• Access to enterprise-authorized AI coding assist tools and other advanced development resources.

• Employee assistance programs and wellness initiatives.

• Potential for performance-based bonuses.

Working Hours: Standard 40-hour work week, typically Monday to Friday, with potential for occasional overtime depending on project demands.

📝 Enhancement Note: The salary range is an estimation based on the role's seniority, location (Bengaluru), industry (financial services), and specific technical requirements. Actual compensation will be determined by JPMorgan Chase based on individual qualifications and experience.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Services (Commercial & Investment Bank Payments Technology). JPMorgan Chase operates at the forefront of global finance, providing a wide range of financial services. The Payments Technology team is integral to the bank's infrastructure, enabling secure and efficient transactions.

Company Size: JPMorgan Chase is a global financial services firm with over 300,000 employees, making it one of the largest banks in the world. This scale offers extensive resources, opportunities, and a structured corporate environment.

Founded: 2000 (formed from the merger of Chase Manhattan Corporation and J.P. Morgan & Co.). The company has a long history of financial innovation and stability.

Team Structure:

• The role is within the Commercial & Investment Bank Payments Technology team, part of a larger Technology organization.

• This team likely comprises agile squads focused on specific payment functionalities, including front-end developers, back-end engineers, QA, and product owners.

• Collaboration is expected across various technology domains and business units within the Commercial & Investment Bank. Methodology:

• Agile software development methodologies (Scrum, Kanban) are likely employed for iterative development and delivery.

• Emphasis on secure coding practices, robust testing (unit, integration, end-to-end), and operational excellence.

• Data-driven decision-making, leveraging analytics for continuous improvement and performance monitoring.

• Integration of advanced tools, including enterprise-authorized AI coding assistants, to enhance development processes.

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

📝 Enhancement Note: JPMorgan Chase's culture blends a strong focus on financial stability and security with a drive for technological innovation. The Payments Technology team operates within this framework, requiring precision, reliability, and a forward-thinking approach to development, including the adoption of new AI technologies.

📈 Career & Growth Analysis

Operations Career Level: Software Engineer III. This level typically signifies a mid-to-senior individual contributor with a solid foundation in software engineering principles and specialized skills. This role involves designing and implementing complex features, mentoring junior engineers, and contributing to architectural decisions. The focus on UI development means this position is critical for creating user-facing aspects of financial products.

Reporting Structure: The Software Engineer III will likely report to a Technology Lead or Engineering Manager within the Payments Technology domain. They will be part of an agile team, collaborating closely with peers, product managers, and potentially architects.

Operations Impact: As a UI Developer on the Payments Technology team, the impact is direct on the user experience of critical financial products. This includes ensuring intuitive interfaces, secure transactions, and reliable performance, which directly influence customer satisfaction, operational efficiency, and regulatory compliance within the Commercial & Investment Bank.

Growth Opportunities:

• Skill Advancement: Deepen expertise in front-end frameworks (React), state management, AWS cloud services (S3, CloudFront, WAF), and explore full-stack capabilities. Gain advanced proficiency in AI-assisted development tools and responsible AI practices.

• Specialization: Focus on specific areas within Payments Technology, such as real-time transaction interfaces, security protocols, or large-scale data visualization for financial analytics.

• Leadership: Progress to a Senior Software Engineer or Technical Lead role, taking ownership of larger projects, mentoring teams, and contributing more significantly to architectural design and strategy.

• Cross-Functional Exposure: Opportunities to collaborate with other technology teams (e.g., back-end, data engineering, security) and business stakeholders across the Commercial & Investment Bank.

📝 Enhancement Note: This role offers a clear path for a UI Developer to grow within a major financial institution, emphasizing specialized technical skills, strategic adoption of new technologies like AI, and a direct impact on core banking operations.

🌐 Work Environment

Office Type: The role is specified as "On-site" in Bengaluru, indicating a traditional office-based work environment within JPMorgan Chase's facilities. This fosters direct collaboration, team cohesion, and access to on-site resources.

Office Location(s): The office is located in Bengaluru, Karnataka, India, specifically at GR. FLR., 1ST TO 6TH FLR., PLATINA, BLOCK-3, KODBISANHALLI, OUTER RING , ROAD, BANGALORE EAST TAL., PIN code 560103. This is a prominent business district in Bengaluru.

Workspace Context:

• Collaborative Environment: Expect a dynamic office setting designed to encourage teamwork, brainstorming, and knowledge sharing among engineers.

• Tooling: Access to enterprise-grade development tools, including high-performance workstations, robust network infrastructure, and importantly, enterprise-authorized AI coding assist tools.

• Team Interaction: Frequent interaction with immediate team members, leads, and potentially stakeholders from product management and other engineering disciplines. Regular participation in agile ceremonies and team meetings.

Work Schedule: The standard work schedule is 40 hours per week, typically from Monday to Friday. While adherence to business hours is expected, flexibility may be available depending on team needs and project deadlines, common in agile development environments.

📝 Enhancement Note: The on-site requirement suggests a preference for in-person collaboration and direct access to the company's technological infrastructure and support systems, which is standard for many roles within large financial institutions.

📄 Application & Portfolio Review Process

Interview Process:

• Application Screening: Initial review of resume and qualifications, focusing on front-end skills, AWS experience, and AI tool familiarity.

• Technical Phone/Video Interview: Assessment of core front-end concepts (React, JavaScript, HTML/CSS), problem-solving abilities, and understanding of AWS services and security.

May include live coding exercises.

• On-site or Virtual On-site Interviews: Multiple rounds including:

  • System Design Interview: Evaluating ability to architect scalable and secure front-end solutions.
  • Coding Challenge: Practical demonstration of coding skills, potentially focusing on UI implementation or CI/CD concepts.
  • Behavioral Interview: Assessing fit with JPMorgan Chase's culture, teamwork, and problem-solving approach, with questions related to AI tool usage and responsible AI.
  • Manager/Team Lead Interview: Discussion of career aspirations, team dynamics, and broader project context.

• Portfolio Review: Candidates may be asked to present specific projects from their portfolio that showcase their UI development, AWS deployment, and CI/CD expertise, particularly those where AI tools were leveraged.

Portfolio Review Tips:

• Highlight Key Projects: Select 2-3 projects that best demonstrate your UI development skills (React, state management), AWS deployment (S3, CloudFront, security), and CI/CD experience.

• Showcase AI Integration: For any relevant projects, clearly articulate how AI coding assist tools were used, the specific benefits realized (e.g., faster development, improved code quality), and how you validated their outputs.

• Quantify Impact: Use metrics where possible to demonstrate the success of your projects (e.g., performance improvements, reduction in deployment time, security enhancements).

• Explain Technical Choices: Be prepared to discuss the rationale behind your technology choices, architectural decisions, and security configurations.

• Focus on Security & Compliance: Given the financial industry context, emphasize your understanding and application of security best practices and compliance requirements.

Challenge Preparation:

• Practice Coding: Rehearse common front-end coding problems, especially those involving React, state management, and DOM manipulation.

• AWS Scenarios: Prepare for questions related to S3 static website hosting, CloudFront configuration, OAC/OAI, IAM policies, and WAF rules.

• CI/CD Concepts: Understand the steps involved in a typical front-end CI/CD pipeline and how to implement environment promotion and rollbacks.

• AI Tool Discussion: Be ready to discuss your experience with AI coding tools, including their strengths, limitations, and how you ensure responsible and secure usage. Prepare examples of how you've critically evaluated AI-generated code.

📝 Enhancement Note: The interview process is rigorous, emphasizing technical depth in front-end development and AWS, alongside a critical focus on the practical and ethical application of AI tools within a secure financial environment.

🛠 Tools & Technology Stack

Primary Tools:

• Frontend Framework: React (core requirement)

• State Management: Redux (or similar modern state management libraries)

• Core Web Technologies: JavaScript (ES6+), HTML5,

CSS3

• Development Environment: Modern IDEs (e.g., VS Code) with AI-assisted coding plugins.

• Version Control: Git (e.g., GitHub, GitLab, Bitbucket)

Analytics & Reporting:

• Cloud Monitoring: AWS CloudWatch for application and infrastructure monitoring.

• Performance Analysis: Browser developer tools, Lighthouse, and potentially APM tools for front-end performance.

• Reporting: Tools for generating build and deployment reports, possibly integrated with CI/CD dashboards.

CRM & Automation:

• CI/CD Platforms: Jenkins, GitLab CI, GitHub

Actions, or similar for automating builds, testing, and deployments.

• Cloud Provider: Amazon Web Services (AWS):

  • S3 (Simple Storage Service) for static website hosting.
  • CloudFront for Content Delivery Network (CDN) services.
  • IAM (Identity and Access Management) for access control.
  • AWS WAF (Web Application Firewall) for security.
  • TLS/HTTPS configuration for secure communication.

• AI-Assisted Development Tools: Enterprise-authorized AI coding assistants (e.g., GitHub Copilot, Amazon CodeWhisperer, or internal tools) integrated into the development workflow.

📝 Enhancement Note: The technology stack is heavily focused on modern front-end development with React, robust AWS deployment and security configurations, and a mandatory integration of AI coding tools.

👥 Team Culture & Values

Operations Values:

• Innovation & Technology Adoption: Embracing new technologies like AI coding assistants to drive efficiency and improve product quality, while ensuring responsible implementation.

• Security & Compliance: Upholding the highest standards of data security and regulatory compliance, critical in the financial services industry.

• Collaboration & Teamwork: Fostering an environment where team members support each other, share knowledge, and work collectively towards common goals.

• Excellence & Quality: A commitment to delivering high-quality, reliable, and scalable software solutions that meet business needs and exceed customer expectations.

• Continuous Improvement: Proactively seeking opportunities to enhance processes, code, and systems through data analysis and feedback.

Collaboration Style:

• Agile & Iterative: Working in sprints, with regular stand-ups, sprint reviews, and retrospectives to ensure alignment and continuous feedback.

• Cross-Functional Interaction: Close collaboration with back-end engineers, product managers, UX designers, and QA testers to deliver cohesive product features.

• Knowledge Sharing: Encouraging open communication, code reviews, and discussions around best practices, particularly concerning new technologies like AI-assisted development.

• Mentorship: Senior engineers are expected to guide and support more junior team members, fostering a learning culture.

📝 Enhancement Note: The culture emphasizes a blend of rigorous financial industry standards (security, compliance) with a forward-looking approach to technology adoption and agile development practices.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Innovation with Security: Integrating new tools like AI coding assistants while maintaining stringent security and compliance standards inherent to financial services.

• Complex System Integration: Developing user interfaces that seamlessly integrate with complex, often legacy, back-end systems within the Payments Technology domain.

• Rapid Technological Evolution: Staying current with the fast-paced evolution of front-end technologies, cloud services, and AI tools, and adapting them effectively.

• Scalability and Performance: Ensuring front-end applications can handle high transaction volumes and maintain optimal performance under heavy load.

Learning & Development Opportunities:

• Advanced AWS Certifications: Pursuing certifications in AWS services relevant to cloud architecture, security, or development.

• Specialized Front-End Training: Deepening expertise in advanced React patterns, performance optimization techniques, or emerging front-end frameworks.

• AI & Machine Learning Fundamentals: Gaining a foundational understanding of AI/ML principles to better leverage AI tools and contribute to responsible AI initiatives.

• Financial Technology (FinTech) Domain Knowledge: Developing a deeper understanding of payment systems, financial regulations, and market trends.

• Leadership Development Programs: Opportunities to hone leadership skills for future roles as a Technical Lead or Manager.

📝 Enhancement Note: The challenges presented are typical for a mid-level engineer in a large, regulated tech environment, offering ample opportunities for professional growth and skill diversification.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex UI you’ve built using React. What were the main challenges, and how did you address them?" (Focus on state management, performance, and component architecture).

• "How would you secure a static website hosted on AWS S3 and served via CloudFront, considering potential threats like XSS or DDoS?" (Prepare to discuss S3 Block Public Access, OAC/OAI, IAM, WAF, HTTPS, CSP).

• "Walk me through your process for building a CI/CD pipeline for a front-end application. What are the critical stages, and how do you handle environment promotions and rollbacks?" (Detail your experience with specific tools and methodologies).

• "Describe your experience using AI-assisted coding tools. How do you ensure the code generated is correct, performant, and secure? What are the ethical considerations?" (Prepare specific examples of how you've evaluated and refined AI outputs). Company & Culture Questions:

• "What interests you about working in Payments Technology at JPMorgan Chase?" (Research the company's role in financial innovation and payments).

• "How do you approach collaborating with back-end developers and product managers to deliver a feature?" (Highlight your understanding of agile processes and cross-functional teamwork).

• "How do you stay updated with the latest front-end technologies and cloud practices?" (Showcase your commitment to continuous learning).

• "Describe a situation where you had to balance speed of delivery with code quality or security. How did you make the decision?" (Demonstrate your judgment and understanding of trade-offs). Portfolio Presentation Strategy:

• Structure Your Narrative: For each portfolio example, clearly state the problem, your solution (highlighting your role and technologies used), the impact, and any lessons learned.

• Emphasize AI Integration: If applicable, dedicate a section to explaining your use of AI tools, the specific prompts or inputs, the AI's output, and your critical review and refinement process. Quantify benefits if possible.

• Demonstrate AWS & CI/CD Expertise: Use diagrams or code snippets (if appropriate) to illustrate your AWS deployment architecture and CI/CD pipeline setup, explaining key security configurations.

• Be Ready for Technical Deep Dives: Anticipate questions about specific code implementations, architectural choices, and security configurations within your portfolio projects.

📝 Enhancement Note: Preparation should focus not just on technical skills but also on demonstrating a mature understanding of security, responsible AI usage, and collaboration within a large enterprise context.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Oracle Cloud candidate portal via the provided URL.

• Prepare Your Resume: Tailor your resume to highlight your 3+ years of front-end experience, specific skills in React, Redux, HTML5, CSS, and JavaScript. Prominently feature your AWS deployment (S3, CloudFront) and CI/CD experience, including security configurations. Crucially, detail any experience using AI-assisted development tools and your approach to validating AI-generated outputs.

• Curate Your Portfolio: Select 2-3 key projects that showcase your UI development expertise, AWS deployment capabilities, and CI/CD pipeline implementations. Prepare to discuss your role, technical decisions, the impact of your work, and specifically how you've integrated and validated AI coding tools.

• Practice Interview Questions: Rehearse answers to common technical, behavioral, and system design questions, with a particular focus on your front-end skills, AWS security, CI/CD processes, and your experience with AI coding assistants.

• Research JPMorgan Chase: Understand the company's mission, values, and its role in the financial technology sector, especially within Payments Technology. Familiarize yourself with their emphasis on security, innovation, and responsible AI use.

⚠️ 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.