Software Engineer III - UI / Experience Services Developer

Description As a Software Engineer III at JPMorganChase within Consumer & Community Banking (CCB), J.P. Morgan Wealth Management (JPMWM), you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives, with a focus on building responsive UI components and Java-based experience services that incorporate agentic (LLM-driven) workflows. Job Responsibilities Executes software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems, including responsive, user-friendly UI components and workflows, and builds and maintains experience services (the API/service layer supporting front-end experiences), primarily using Java. Implements and integrates agentic capabilities — including workflow orchestration, tool/function calling patterns, guardrails, and state management for agent flows — into applications and user journeys. Leverages 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), validating outputs through peer review, automated testing, and secure coding standards, and contributing learnings and reusable patterns to improve broader team effectiveness. Drives team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development. Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems. Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements in coding hygiene and system architecture. Collaborates with product, design, and backend teams to translate requirements into reliable, performant solutions. Debugs issues across UI and services using basic SQL queries to validate data, investigate defects, and support root-cause analysis and ensures code quality through reviews, testing, documentation, and adherence to engineering standards. Required Qualifications, Capabilities, and Skills 3+ years of professional experience in UI development (building production-grade user interfaces) and experience services development (building services/APIs supporting UI experiences). Strong hands-on experience with Java for backend/service development (e.g., building RESTful services). Exposure to agentic capabilities / LLM-driven workflows and integrating them into applications. Basic SQL knowledge for writing simple queries used in validation and troubleshooting. Hands-on practical experience in system design, application development, testing, and operational stability. Experience developing, debugging, and maintaining code in a large corporate environment using one or more modern programming languages and database querying languages. Demonstrated experience leading effective use of approved AI-assisted software development tools — for coding, code review, test acceleration, and troubleshooting — with the 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, along with experience coaching engineers on safe, compliant adoption within delivery practices. Overall knowledge of the Software Development Life Cycle. Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. Strong problem-solving skills, communication, and the ability to work effectively in an agile environment. Preferred Qualifications, Capabilities, and Skills Machine Learning exposure (foundational understanding, model integration, or ML-enabled features). Experience with Apache Spark for batch/stream processing, data pipelines, or large-scale data processing. Experience with API design best practices, service reliability, observability, and performance optimization. Familiarity with secure coding practices (authentication/authorization, data handling, input validation). Familiarity with modern front-end technologies. Exposure to cloud technologies.