Senior Lead Software Engineer-Big Data Python /Java , Databricks

Job Description

As a Senior Lead Software Engineer at JPMorganChase within the Corporate Technology Sector, you provide expertise and engineering excellence as an integral part of an agile data engineering team.

To enhance, build, and deliver a trusted market leading Global Know Your Customer (KYC) and Risk Assessment Data Platform 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.

This role is suited to a senior engineer who has hands-on skills to lead across multiple teams-defining architecture, engineering practices and standards, and delivering high-impact software that scales.

Job responsibilities


* Develops secure, high-quality production code for data-intensive applications and platforms, and reviews and mentors other engineers


* Creates durable, reusable software frameworks and patterns that are leveraged across teams and functions


* Designs and governs agentic A rtificial Intelligence, systems, including multi-agent workflows, tool-use integrations, and human-in-the-loop controls appropriate for regulated financial services environments


* Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.


* Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.


* Establishes engineering standards for Large Language Model-based applications - RAG pipelines, embedding workflows, vector store integrations, and model serving - ensuring safety, observability, and reproducibility at scale


* Drives adoption of advanced technical methods and practices aligned with the latest industry standards and product development methodologies


* Advises cross-functional teams on technological matters within your domain of expertise


* 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.

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 5+ years applied experience.


* Hands-on practical experience delivering system design, application development, testing, and operational stability at enterprise scale


* Hands-on experience designing and de...