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

JPMorgan Chase & Co.; Chicago (IL); Sur place; USD 180 000 - 240 000; Plein temps

Résumé du poste

JPMorganChase in Chicago seeks a Lead Software Engineer for the Credit Pre-Trade Technology team to advance AI-enabled trading platforms and scalable, secure systems. You will be a core technical contributor designing and delivering high-quality production code across multiple domains to support the firm’s business objectives.

The role requires 8+ years of hands-on experience in Python/Java/C++, strong AI tooling knowledge, and cloud-native practices with a focus on performance, reliability, and

Qualifications

• 8+ years of 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 AWS services and best practices, with practical cloud-native experience.

Responsabilités

• 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.
• 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.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes, 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.

Connaissances

Python/Java/C++

AI components

Cloud-native AWS

CI/CD & automation

SDLC proficiency

Agile methodologies

Communication skills

Financial markets interest

Outils

AI tooling

CI/CD tooling

Enterprise SDLC toolchain

Description du poste

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 JPMorganChase within the Commercial & Investment Bank - Credit Pre-Trade Technology team, 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

• 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.
• 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.
• 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.

Required qualifications, capabilities, and skills

• 8+ years of 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 AWS services and best practices, with practical cloud-native experience.
• 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.
• 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.

Preferred qualifications, capabilities, and skills

• Experience building scalable AI platforms for trading or financial services.
• Experience modernizing legacy systems with AI tooling.