Principal Software Engineer (Public Cloud)

If you are looking for a game-changing career, working for one of the world's leading financial institutions, you’ve come to the right place. As a Principal Software Engineer at JPMorganChase within Consumer & Community Banking, you provide expertise and engineering excellence building and delivering trusted market-leading technology products in a secure, stable, and scalable way. Job responsibilities Creates complex and scalable coding frameworks using appropriate software design frameworks Develops secure and high-quality production code, and reviews and debugs code written by others Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams. 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 at scale. Advises cross-functional teams on technological matters within domain of expertise Serves as the function’s go-to subject matter expert Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies Creates durable, reusable software frameworks that are leveraged across teams and functions Influences leaders and senior stakeholders across business, product, and technology teams Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 7+ years applied experience Extensive experience in GCP or AWS Hands-on practical experience delivering system design, application development, testing, and operational stability Expert in one or more programming language(s) (python, java, go) Demonstrated experience designing and leading adoption of agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data. Strong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk-based governance; ability to influence senior technical leaders on safe scaling patterns and reuse. Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines Ability to present and effectively communicate with Senior Leaders and Executives