
at J.P. Morgan
Bulge Bracket Investment BanksPosted 10 days ago
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**Lead Software Engineer - Cloud Financial Management** - **Role**: Core tech contributor driving secure, scalable solutions in an agile team. Leads code development, reviews, and troubleshooting, automating remediation for improved stability. - **Technical Skills & Experience**: Proven expertise in software engineering (5+ yrs), React JS, Java/Python, agile methodologies (CI/CD, resiliency, security), cloud native experience, and financial services industry knowledge. - **Leadership & Collaboration**: Leads vendor evaluations, promotes AI-assisted engineering, drives OKRs, and fosters diversity and inclusion. - **Impact**: Develops secure, high-quality code and explores new technologies to enhance software systems, with a strong focus on responsible AI use within delivery practices.
- Compensation
- Not specified
- City
- Atlanta
- Country
- United States
Currency: Not specified
Full Job Description
Location: Atlanta, GA, United States
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).




