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

JPMorgan Chase & Co.; New York (NY); On-site; USD 170,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. in New York seeks a Sr Lead Software Engineer within Credit Technology.

You will be an integral part of an agile team delivering trusted market-leading technology products in a secure, scalable way, contributing as a core technical leader. The role blends hands-on engineering, business engagement, and modernization of trading platforms with AI tooling, offering opportunities to influence architecture, automation, and production reliability.

Qualifications

• 5+ years hands-on experience delivering system design, application development, testing, and operational stability.
• Proficient in Python and Java.
• Experience with AI components and their application in modern stacks.
• Foundational understanding of cloud services, AWS, and cloud-native practices.
• Experience leading use of AI-assisted development tools with validation of outputs.
• Strong emphasis on responsible AI, security, and compliant adoption.
• Proficient in automation and continuous delivery; understanding of SDLC.
• Advanced understanding of agile methodologies (CI/CD, resiliency, security).
• Interest in financial markets and trading and collaboration with Credit Sales and Trading teams.
• Strong communication and leadership in technology advancement through AI.

Responsibilities

• Execute creative software solutions with design, development, and troubleshooting.
• Build and support AI-native systems and modernize incumbent systems with AI tooling.
• Lead adoption of enterprise AI-assisted engineering practices for code quality and delivery speed.
• Utilize SDLC tools to improve automation and value realization.
• Engage with Credit Sales and Trading to align technical solutions with business strategy.
• Architect and build hands-on systems, develop secure production code, and review others’ code.
• Identify opportunities to automate recurring remediation and improve stability KPIs.
• Partner with L1 support teams to ensure production reliability and rapid issue resolution.
• Lead evaluation sessions with vendors and internal teams on architectural designs.
• Lead communities of practice to promote new technologies.
• Contribute to team culture of diversity and inclusion.

Skills

Python

Java

AI in software development

Cloud computing

CI/CD

Agile methodologies

Education

Software engineering certification

Tools

AWS

AI-assisted development tools

CI/CD tooling

Job description

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.
• Drive 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.
• Apply 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