Senior Lead Software Engineer - Full Stack

Be an integral part of an agile 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 Corporate Technology (CT), as part of the Treasury and Chief Investment Office (TCIO) Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

You drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to a wide range of challenges across multiple technologies and applications.

You will be the technical lead for UI and full-stack engineering on ALMonD (Asset Liability Management on Demand), the firm's simulation platform for modeling how interest rate scenarios affect JPMorganChase's net interest income, balance sheet, and other key risk metrics.

You will set the front-end and full-stack architecture, build the Python and Java services on AWS that connect users to a high-performance simulation engine, and turn complex quantitative output into clear, intuitive workflows and visualizations.

As a hands-on leader, you will contribute production code regularly, set the engineering quality bar, and model an AI-forward way of working that uses modern AI tools to speed up delivery while keeping solutions reliable, well-observed, secure, and in line with firm expectations for responsible AI use.

Job responsibilities


* Set the technical direction and architecture for the ALMonD web platform across the front end, service layer, and integration with the simulation engine, with a focus on scalability, performance, and long-term maintainability.


* Build and maintain full-stack features end to end, from React/TypeScript user interfaces through Python services and APIs, with Java services where needed, deployed on AWS.


* Design intuitive workflows for configuring, running, and comparing interest rate simulations and scenarios, partnering with Treasury, CIO, and risk stakeholders to translate quantitative requirements into usable product features.


* Develop high-performance data visualizations, grids, and dashboards that render large simulation result sets (e.g., NII and EVE sensitivities, scenario comparisons, time series) with speed, clarity, and accuracy.


* Lead the team's adoption of AI-assisted engineering practices using enterprise-authorized tools (e.g., for coding, refactoring, test generation, code review, and troubleshooting), and set clear standards for validating AI outputs for correctness, performance, and security.


* Identify and prototype opportunities to bring AI into the product and engineering workflow, such as natural language scenario setup, AI-generated explanations of simulation results, and automation of repetitive development and operational tasks.


* Set and enforce engineering standards for...