Principal Software Engineer (Public Cloud)

JPMorgan Chase & Co.•New York, NY

3d•$166,250 - $285,000

About The Position

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.

Requirements

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

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