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JPMorgan Chase logo

Sr Principal Software Engineer

Posted in last 14 days
JPMorgan Chase
ON SITE
FULL TIME

Seattle, WA, United States

Salary context

Typical pay for US Software Engineer Jobs roles in Seattle: $144k–$216k (median $170k).

Based on 48 live listings with disclosed salary.

Dept: Software Engineering

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US Software Engineer Jobs in Seattle

Research this role and its H-1B context

Use these guides to compare role fit, employer history, and public sponsorship evidence. An employer's past filing activity does not guarantee sponsorship for this opening or for a particular candidate.

  • career guideCareer guideA practical, data-led report for comparing recent employer H-1B filing history with live product, engineering, software, and design openings.
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Description

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. As a Senior Principal Software Engineer at JPMorganChase within the CDAO AI/ML Data Platforms Team, 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. 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 - Serves as the function’s go-to subject matter expert - Build and operate 24x7, tier‑1 online services - Champions the firm’s culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills - Formal training or certification on software engineering concepts and 7+ years applied experience - Practical experience delivering system design, application development, testing, and operational stability - Proficiency in one or more of the following languages: Rust, Java, Go, C++ - 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. - Proven track record building and operating 24x7, tier‑1 online services. - 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 - Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills - Familiarity with open‑source projects in the OLAP/data stack: Apache DataFusion, DuckDB, Apache Arrow Flight SQL.
ATS: oracle hcmPosted: Aug 18, 2026Updated: Aug 18, 2026View original posting

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