Senior Principal Software Engineer

Lead IAM engineering practices, AI-enabled delivery, and shared platforms—own how teams build, test, deploy, and run software.

As a Senior Principal Software Engineer at JPMorganChase within the Chief Technology Office, you provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your deep expertise to consistently challenge the status quo, innovate for business impact, lead the strategic development behind new and existing products and technology portfolios, and remain at the forefront of industry trends, best practices, and technological advances. We’re looking for a tech leader ready to take their career to new heights. Join the ranks of top talent at one of the world’s most influential companies. Job responsibilities Advises and leads on the strategy and development of multiple products, applications, and technologies across a portfolio Creates novel code solutions and drives the development of new production code capabilities across teams and functions Sets strategy and operating standards for agentic AI-enabled engineering across a portfolio (using enterprise-authorized tools within the work environment) to drive measurable improvements in delivery speed, reliability, and code quality (e.g., AI-orchestrated SDLC/TLM automation, release readiness gating, incident triage/root-cause acceleration, and large-scale refactoring/test modernization), while defining guardrails for validation, security, resiliency, and reuse across teams and functions. 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. Translates highly complex technical issues, trends, and approaches to leadership to drive the firm’s innovation and enable leaders to make strategic, well-informed decisions about technology advancements Drives adoption and implementation 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 across business, product, and technology teams and successfully manages senior stakeholder relationships Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 10+ years applied experience Practical experience delivering system design, application development, testing, and operational stability Expert in one or more programming language(s) Demonstrated experience designing and scaling agentic AI-enabled development patterns (using enterprise-authorized tools within the work environment) across teams/functions, including establishing governance for human-in-the-loop validation, traceability/auditability, and secure handling of sensitive inputs/outputs. Strong understanding of responsible AI use and control expectations at scale, including security/resiliency implications, data sensitivity, and risk-based governance; ability to advise senior leaders on safe adoption, reuse, and measurable outcomes. Demonstrated prior experience with influencing across functions and teams and delivering value at scale Experience applying expertise and new methods to determine solutions for complex technology problems across various technical disciplines Extensive practical cloud native experience Preferred qualifications, capabilities, and skills Experience operating in large, regulated, or complex enterprise technology environments. Experience with identity and access management technologies, such as authentication and federation, directory services, access governance, privileged access, or secrets and certificate management. Experience with cloud platforms, platform engineering, internal developer portals, API ecosystems, event-driven systems, and integration platforms. Experience with AI coding tools, intelligent automation, agentic development workflows, or engineering-assistant capabilities. Experience defining engineering-practice scorecards, adoption metrics, developer-experience measures, or productivity improvement programs. Recognized technical leadership through engineering communities, patents, publications, open-source contributions, speaking engagements, or enterprise engineering transformation.