Lead Software Engineer - Python and AI

We have an opportunity toimpactyour career and provide an adventure where you can push the limits ofwhat'spossible.

As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Banking, 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, youare responsible forconducting critical technology solutions across multiple technical areas within various business functions in support of the firm's businessobjectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• 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.
• Identifiesopportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads 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
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s) (Python as amust)
• 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
• Strong Analytical andproblem-solvingskills. Solidtechnology background with experience inobject-orientedprogramming.
• Proficiencyin automation and continuous deliverymethods
• Proficientin all aspects of Software Development LifeCycle Advancedunderstanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstratedproficiencyin software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• In-depth knowledge of the financial services industry and their IT systems . Practical cloud native experience

Preferred qualifications, capabilities, and skills

• Preferred UI Skills -Reactjs, Nodejs, Microservices
• Macro Trading Business knowledge.
• In-depth knowledge of the financial services industry and their IT systems
• Knowledge of AWS Data Source
• Distributed computing, Data modeling, Performance engineering, regression testing