Lead Python Engineer - AI Trading Platform

JPMorganChase; Chicago (IL); Presencial; USD 138.000 - 185.000; Jornada completa

Descripción de la vacante

JPMorganChase in Chicago, IL is seeking a Lead Software Engineer to advance Python-based trading technology within the Credit Trading Technology team. You will deliver secure, scalable software solutions, and collaborate across business and product teams to meet strategic objectives.

As a core technical contributor, you will architect and implement production-grade code, leverage AI-enabled platforms, and guide the adoption of secure, reliable engineering practices in a fast-paced environment.

Formación

• Formal training or certification on software engineering concepts and 5+ years of applied experience.
• Advanced hands-on experience with Python and delivering system design, application development, testing, and operational stability.
• Hands-on experience with artificial intelligence components and their application within modern technology stacks.
• Practical cloud-native experience, including foundational knowledge of AWS services and cloud engineering practices.
• Proficiency in automation and continuous delivery methods and all aspects of the Software Development Life Cycle.
• Advanced understanding of agile methodologies, CI/CD, application resiliency, and security.
• Demonstrated technical proficiency across modern software engineering disciplines such as cloud, artificial intelligence, and machine learning.
• Experience working with business and product partners to translate requirements into scalable technical solutions.
• Demonstrated experience leading effective use of approved AI-assisted software development tools 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

Responsabilidades

• Executes 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
• Builds and supports AI-enabled systems to expand electronic trading capabilities, including scalable AI platforms and modernization of existing systems using approved AI tooling
• Partners directly with Credit Sales and Trading and Product teams to understand business strategy and deliver impactful technical solutions
• Architects and builds new systems hands-on using modern engineering practices and develops secure, high-quality production code while reviewing and debugging code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve operational stability and partners with support teams to ensure production reliability and timely issue resolution
• Leads evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical capabilities, and applicability within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and adoption 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, while establishing consistent validation standards and promoting reuse of effective patterns

Conocimientos

Python

AI/ML

AWS

CI/CD

Agile

Security

Collaboration

Production code

Herramientas

AI-assisted tooling

CI/CD tools

Descripción del empleo

JPMorganChase in Chicago, IL is seeking a Lead Software Engineer to advance Python-based trading technology within the Credit Trading Technology team. You will deliver secure, scalable software solutions, and collaborate across business and product teams to meet strategic objectives.

As a core technical contributor, you will architect and implement production-grade code, leverage AI-enabled platforms, and guide the adoption of secure, reliable engineering practices in a fast-paced environment.