Lead Software Engineer - Python / Java - AI -Markets Technology, Credit Pre-Trade Technology

Join our Credit Technology team and help architect and build AI-native systems that expand eTrading capabilities for Credit Sales and Trading. 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.

As a 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.

• 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 eTrading capabilities, including the development of scalable AI platforms for trading and the modernization of incumbent systems with AI tooling
• 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 metrics
• Partner with Level 1 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
• 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

• Formal training or certification on software engineering concepts and advanced applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability using Python, Java, or C++
• Hands-on experience with AI components, with a strong understanding and opinion of their application in modern technology stacks
• Foundational understanding of cloud services and best practices, with practical cloud-native experience
• Proficiency in automation and continuous delivery methods, with proficiency across all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as continuous integration/continuous delivery, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• 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
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices

• 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 technology systems
• Experience supporting production systems in partnership with Level 1 support teams
• Demonstrated ability to drive technical innovation and continuous improvement in a fast-paced environment