We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
Join us to shape the future of technology in financial services. You’ll have the opportunity to push boundaries, solve complex challenges, and make a meaningful impact. We value your creativity, technical expertise, and passion for building secure, scalable solutions. At JPMorganChase, you’ll grow your career and collaborate with talented professionals in an inclusive environment. Experience the adventure of working with cutting-edge technologies and a supportive team.
As a Lead Software Engineer in the Commercial & Investment Bank - Technology team, you will play a pivotal role in enhancing and delivering trusted technology products. You will work within an agile team, contributing across multiple technical areas to support our business objectives. Your expertise will help drive innovation, operational stability, and technical excellence. You will foster a culture of diversity, inclusion, and respect while collaborating with internal and external partners. Your leadership will inspire the team and advance our technology capabilities.
Job Responsibilities:
- Execute creative software solutions, design, development, and technical troubleshooting to solve complex problems
- Develop secure, high-quality production code and review and debug code written by others
- Identify opportunities to automate remediation of recurring issues and improve operational stability
- Lead evaluation sessions with vendors, startups, and internal teams to assess architectural designs and technical credentials
- Drive communities of practice across Software Engineering to promote new and leading-edge technologies
- 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.
- Contribute to a team culture of diversity, opportunity, inclusion, and respect
Required Qualifications, Capabilities, and Skills:
- Formal training or certification in software engineering concepts
- Hands-on experience in system design, application development, testing, and operational stability
- Proficiency coding with JavaScript and using front-end UI frameworks such as React or Angular
- Experience building ASP.NET MVC, Web API, or REST style applications
- Proficiency coding in C# with .NET Core or .NET frameworks
- Ability to develop, debug, and maintain code in a corporate environment using modern programming and database querying languages
- Understanding of agile methodologies including CI/CD, application resiliency, and security
- Experience in SQL scripting or T-SQL in SQL Server 2019 or higher
- 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
- Proficiency with development toolsets such as Git, Visual Studio 2019/2022, and VS Code
Preferred Qualifications, Capabilities, and Skills:
- Bachelor’s degree in Computer Science or similar field
- Knowledge of financial services industry and IT systems
- Hands-on experience with cloud-native development using providers such as AWS
- Familiarity with AI-powered coding tools such as GitHub Copilot or similar
