Principal Software Engineer Director

As a Principal Software Engineer at JPMorganChase within Digital Technology you provide expertise and engineering excellence as an integral part of an agile team to enhance build and deliver trusted market-leading technology products in a secure stable and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firms portfolios.

• 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 functions 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
• Hands-on practical experience delivering system design application development testing and operational stability
• Expert in one or more programming language(s)
• Experience designing and deploying agentic systems
• Expert level proficiency with AI Coding assistants
• 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
• Practical cloud native experience