Senior Lead Software Engineer - Risk Technology Data Platform & Strategy

Be an integral part of an agile Engineering & Architecture team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorganChase within the Corporate Risk Technology, you are an integral part of an agile team that works to design, build, enhance and deliver advanced data engineering solutions and trusted market-leading technology products in a secure, stable, and scalable way.

Job responsibilities



* Lead the design and development of secure, high-quality production code for data-intensive applications; review and mentor other engineers


* Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors



* Drives decisions that influence the product design, application functionality, and technical operations and processes



* Serves as a function-wide subject matter expert in one or more areas of focus



* Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the SoftwareDevelopment Life Cycle



* Influences peers and project decision-makers to consider the use and application of leading-edge technologies



* Influences leaders and stakeholders across business, product, and technology teams



* Adds to the team culture of opportunity, inclusion, and respect


* 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.

Required qualifications, capabilities, and skills



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


* Strong proficiency in Engineering, Architecture, AI/ML with hands-on experience in designing, implementing, testing, and ensuring the operational stability of large-scale enterprise data platforms and solutions



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



* Advanced in one or more programming language(s) eg.

Java, Python , C/C++



* Advanced Working knowledge of Databases/Data Lake/Data Mesh and Data governance.



* Experience developing, debugging, and maintaining code in a large corporate environment, with expertise in both application and data platforms, using modern programming and database querying languages.



* Experience in la...