Lead Software Engineer - Python Developer

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As a Lead Software Engineer at JPMorgan Chase within the Enterprise Technology team, you play a crucial role in an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. As a key technical contributor, you are tasked with implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve the firm's business objectives.

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• 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
• Adds to team culture of diversity, opportunity, inclusion, and respect
• Developingautomatedsolutions to address impactful business needs,
• Working with other team members to product ionize end-to-endtechnicalsolutions,
• Engaging in research and development of innovative relevant solutions,

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Advancedproficiencyin one or more programming languages, including Python.
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Proficiency in automation and continuous delivery methods
• Advanced understanding 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.)
• Practical cloud native experience
• Solid coding levelin Python, with experience inleveragingavailable libraries to dedicated projects.
• Knowledge of AI/ML
• Demonstrated practical experience in machine learning techniques, supervised, unsupervised, and semi-supervised.

• In-depth knowledge of the financial services industry and their IT systems
• Proficient in all aspects of the Software Development Life Cycle