Python Software Engineer III

About This Role

This software engineering role at JPMorgan Chase is within the Corporate Sector Market Risk Technology team, focusing on designing and delivering secure, stable, and scalable technology products. The position involves executing software solutions, design, development, and technical troubleshooting, with a focus on critical technology solutions across multiple technical areas, including AI-enabled functionalities, to support the firm’s business objectives.

Responsibilities

• Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems
• Engage with stakeholders
• Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contribute learnings and reusable patterns to improve broader team effectiveness
• 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
• Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture

Requirements

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on experience across the SDLC, including system design, application development, testing, and operational stability
• Advanced Python experience (e.g., Pandas, NumPy) developing, debugging, and maintaining enterprise-scale codebases, with proficiency in SQL and database querying
• Hands-on experience with enterprise-authorized AI development tools (coding/testing/troubleshooting/docs), with proven ability to validate and refine AI outputs for correctness, performance, and security
• Understanding of responsible AI in engineering (data sensitivity, secure input/output handling, resiliency/security), with the ability to guide peers on safe, effective team usage
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security