Principal Software Engineer - Databricks

If you are looking for a game-changing career, working for one of the world's leading financial institutions, you've come to the right place.

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey.

This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making.

The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.

As a Principal Software Engineer at JPMorganChase within the Chief Data Analytics Office - AIML Data Platforms Team, 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 firm's portfolios.

Job 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


* 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 defini...