Lead Software Engineer

J.P. Morgan; Atlanta (GA); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase seeks a Lead Software Engineer within the Cloud Financial Management Technology group in Atlanta to drive secure, scalable software solutions and technical leadership across teams.

You will advance front-end modernization with React, contribute to AI-assisted tooling adoption, and ensure robust SDLC practices across the organization. This role emphasizes security, performance, and financial services domain know-how.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Advanced in React JS with component-driven architecture, state management, performance optimization, and responsive UI.
• Front-end modernization experience and automation scripting for front end testing, build/release automation, and regression prevention.
• Advanced in Java or Python languages.
• Demonstrated experience using AI-assisted software development tools with validation of outputs.
• Strong understanding of responsible AI in engineering workflows and secure handling of data.
• Proficient in the Software Development Life Cycle.
• Advanced understanding of agile methodologies including CI/CD, Application Resiliency, and Security.
• In-depth knowledge of financial services IT systems and cloud-native experience.

Responsibilities

• Executes creative software solutions, design, development, and troubleshooting.
• Develops secure high-quality production code and reviews others’ code.
• Identifies opportunities to automate remediation to improve stability.
• Leads evaluation sessions with vendors and internal teams on architecture and tech credentials.
• Drives adoption of AI-assisted engineering practices to improve code quality, delivery speed, and outcomes.
• Applies SDLC tools to improve automation and value realization.
• Leads communities of practice to promote new technologies and reuse patterns.
• Contributes to a culture of diversity, inclusion, and respect.

Skills

React JS

Java

Python

CI/CD

AI-assisted tools

Secure coding

Agile

Cloud native

Financial services

Frontend modernization

Tools

Playwright

D3

Highcharts

ECharts

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Cloud Financial Management Technology group, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment 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.
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Advanced in modern front-end development with React JS, including component-driven architecture, state management, performance optimization, and building responsive, accessible user interfaces
• Hands-on experience modernizing front-end applications (e.g., migrating legacy UI stacks to React, improving build/tooling and CI/CD) and automation scripting for the front end (e.g., automated UI testing, build/release automation, and regression prevention)
• Advanced in one or more programming language(s), specifically Java or Python
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, 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; experience coaching engineers on safe, compliant adoption within delivery practices
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• In-depth knowledge of the financial services industry and their IT systems and practical cloud native experience

Preferred qualifications, capabilities, and skills

• E2E testing with Playwright (or similar)
• Experience with charting/data visualization libraries (e.g., D3/Highcharts/ECharts) and building analytics-style UIs
• Experience integrating front-end applications with backend APIs and working with large datasets (performance, pagination/virtualization, caching, error handling).