Lead Software Engineer - Python/ Data

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within Corporate Technology in Financial Planning & Analysis team, 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.

Job responsibilities

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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

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Develops secure and high-quality production code, and reviews and debugs code written by others

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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.

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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.

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Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems

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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

Required qualifications, capabilities, and skills

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Formal training or certification on software engineering concepts and 5+ years applied experience

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Hands-on practical experience delivering system design, application development, testing, and operational stability

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Advanced in one or more programming languages including Java, Python, or Scala.

• Good understanding of the AWS platform, including its core services, architecture best practices, and security features.

• Extensive experience with big data technologies, including Apache Spark, for large-scale data processing and analytics.

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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.

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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

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Proficient in all aspects of the Software Development Life Cycle

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Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

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In-depth knowledge of the financial services industry and their IT systems

Practical cloud native experience

Preferred qualifications, capabilities, and skills

• Exposure to Databricks

• Experience with data visualization and business intelligence platforms.

• Bachelor's degree in Finance, Technology, Data Science, or a related field; advanced degree preferred