Lead Software Engineer - Java / AWS / AI

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer, at JPMorganChase within the Commercial & Investment Bank - Global Technology Banking 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.

As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

You will help shape the platform's technical direction and lead delivery of high-impact, production-grade capabilities: building scalable and resilient services, engineering secure data flows, and integrating seamlessly with other services within the JPMC ecosystem.

You'll own the full stack from micro-frontend UX to cloud-native backend services, turning fragmented screening and origination processes into a unified, automated platform that accelerates deal velocity and strengthens execution quality for Global Banking teams.

The Transaction Development platform is an application suite within the Global Banking line of business that provides company screening and proprietary idea generation to drive M&A pipeline for Corporates and Sponsors

Job responsibilities


* Design and implement complex software components across backend services, APIs, and UI experiences using Java, Python, and React, applying sound engineering judgment and pragmatic architecture.


* Build and refine agentic capabilities using the Smart SDK, including tool integration, orchestration patterns, and safety/reliability guardrails suitable for production use.


* Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.


* 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.


* Write secure, high-quality production code and raise the bar through code reviews, debugging, and hands-on mentorship-improving maintainability, performance, and consistency across the codebase.


* Drive operational excellence by identifying recurring issues and implementing automation, preventative controls, and reliability improvements to reduce toil and improve system stability.


* Engineer data and search solutions using PostgreSQL (schema design, migrations, query tuning) and OpenSearch (indexing strategies, query relevance tuning)...