Lead Software Engineer - Python, Unix

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 the Corporate Technology pillar, 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 Execute creative software solutions, including Infrastructure as Code, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develop secure and high-quality infrastructure patterns, largely working in the Red Hat Linux space Drive team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes — including AI-assisted code review, refactoring, test strategy acceleration, and incident and root-cause analysis support — while establishing consistent validation standards and promoting reuse of effective patterns across the team 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 Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Lead 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 Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on practical experience delivering infrastructure and system design, application development, testing, and operational stability Advanced proficiency in one or more programming languages Demonstrated experience leading effective use of approved AI-assisted software development tools — including coding, code review, test acceleration, and 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 and outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe and compliant adoption within delivery practices Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as continuous integration and continuous delivery, application resiliency, Infrastructure as Code, and security In-depth knowledge of the financial services industry and its information technology systems Practical cloud-native experience Good hands on experience implementing and supporting Red Hat Linux environments Preferred qualifications, capabilities, and skills Experience working within large-scale enterprise technology environments with complex infrastructure dependencies Familiarity with platform engineering or internal developer platform tooling and practices Exposure to financial services regulatory and compliance frameworks as they relate to technology and infrastructure Experience contributing to or leading architectural design reviews and technical standards development Knowledge of advanced observability, monitoring, and incident response tooling in production environments #CTC