Lead Software Engineer - Terraform, Python, Kubernetes

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 JPMorgan Chase within the Commercial & Investment Bank, Securities Services Technology, 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

• Develops and maintain high-quality, secure applications using Python and AWS

• Creates architecture and design deliverables, lead design and architecture reviews, own end-to-end delivery. Integrates AIML solutions into complex, domain specific operations processing systems

• Leads code reviews, design discussions, and agile planning sessions. Collaborates with SRE and production monitoring teams to ensure system reliability and performance

• Contributes to software engineering communities of practice and technology events

• Embraces continuous learning, creative problem solving, and a can-do attitude

• Leads evaluation and selection of open source and internal software to determine best fit

• Partners with existing systems teams on cross‑app design; align interfaces and ship end‑to‑end solutions

• Manages small team of engineers whilst remaining hands on, setting engineering standards

• 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.

Required qualifications, capabilities, and skills

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

• Proven hands-on experience in Python application development

• Proven hands-on experience developing, debugging and maintaining production applications

• Solid understanding of software development best practices, including version control, testing, and CI/CD