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# Senior Principal Software Engineer

- **Company:** JPMorgan Chase & Co.
- **Location:** Jersey City, NJ, United States
- **Experience:** Expert
- **Salary:** $232,750.0 - $325,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, User Authentication, Cloud Engineering, Software Quality, Identity and Access Management, Systems Development Life Cycle, Software Engineering, Toolchain, SSL Certificate Management, AI Coding Agents, Agentic-AI, Event Driven Architecture, Production Code, Integration Frameworks, Free and Open-Source Software
- **Published:** October 26, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3467115264&tx=IT8881TTV&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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.

## Description

* 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