We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Sr Lead Software Engineer at JPMorganChase within Credit Technology, 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.
This hands-on role blends modern engineering, direct business engagement, and the opportunity to modernize trading platforms with cutting-edge AI tooling. If you’re passionate about advancing technology in financial markets and thrive in a fast-paced, collaborative environment, we want to hear from you.
Job responsibilities
- Execute creative 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.
- Build and support AI-native systems to expand our eTrading capabilities, including the development of scalable AI platforms for trading and the modernization of incumbent systems with AI tooling.
- 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.
- Engage directly with Credit Sales and Trading business partners to understand their strategy and establish technical solutions in partnership with Product teams.
- Architect and build new systems hands-on, leveraging AI-assisted coding and modern engineering practices. Develop secure, high-quality production code, and review and debug code written by others.
- Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability and continually enhance system stability KPIs.
- Partner with L1 support teams to provide direct support for production systems, ensuring reliability and rapid issue resolution.
- Lead 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.
- Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies.
- Add 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
- 5+ yrs hands-on practical experience delivering system design, application development, testing, and operational stability using Python, Java.
- Hands-on experience with AI components, with a strong understanding and opinion of their application in modern technology stacks.
- Foundational understanding of cloud services, AWS and best practices, with practical cloud-native experience.
- 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 in automation and continuous delivery methods. Proficient in all aspects of the Software Development Life Cycle.
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
- Interest in financial markets and trading, with the ability to work directly with Credit Sales and Trading teams to deliver impactful technology solutions.
- Strong communication skills and a passion for advancing technology through AI and modern engineering practices.
Preferred qualifications, capabilities, and skills
- Experience building scalable AI platforms for trading or financial services.
- Experience modernizing legacy systems with AI tooling.
- In-depth knowledge of the financial services industry and their IT systems.
- Experience supporting production systems in partnership with L1 support teams.
- Demonstrated ab