As a Senior Principal Software Engineer at JPMorgan Chase within Consumer & Community Banking Operations technology organization, you are a hands-on, high-judgment team member contributor who can step into ambiguous, high-impact problems across domains, platforms, and languages. You 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.

Job Responsibilities

• Practical experience delivering system design, application development, testing, and ensuring operational stability
• 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

   

• Influences across business, product, and technology teams and successfully manages senior stakeholder relationships
• Stays deeply hands-on—writes production code, reviews code and designs, and leads the implementation of critical paths, migrations, and reliability fixes.
• Establishes repeatable engineering mechanisms (reference implementations, golden paths, libraries, templates, playbooks, SLOs, CI/CD controls) that raise the bar across the organization, including strong instrumentation, alerting, incident response practices, post-incident learning, and measurable reliability improvements.
• Ramps quickly into unfamiliar codebases, languages, and platforms to identify the highest-leverage changes, while coaching engineers through reviews, pairing, forums, and incident learning to scale reusable patterns and standards across teams and functions.

Required qualifications, skills, and/or capabilities
 

• 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
• Strong engineering judgment and pragmatic decision-making—balances technical excellence with delivery timelines, customer outcomes, and operational risk; proven ability to drive alignment