Location: Wilmington, DE, United States

As a Lead Software Engineer at JPMorgan Chase, you will design and deliver the software products that power executive-facing reporting and analytics across firmwide technology programs -- and be a senior, visible contributor who can stand behind what you build in front of leadership at all levels.

This role is for a self-directed engineer who moves fast, thinks architecturally, and is energized by the challenge of pioneering new ways of working. You will build Python-based web applications and reporting tools using agentic AI, deploy them into Cloud Foundry and AWS environments, and own the full software lifecycle from development through production. You set technical direction, establish patterns others follow, and bring the same energy to a stakeholder presentation as you do to a code review.

Core responsibilities: designing and building production-grade Python web applications serving executive and program audiences; owning end-to-end deployment via CI/CD pipelines and enterprise tooling; developing lightweight web front-ends through Python frameworks; partnering with program leads to translate reporting requirements into scalable software products; and actively driving the adoption of AI-assisted development across the team.

Qualifications: proven experience building and deploying production Python applications; experience with Cloud Foundry, AWS, or equivalent PaaS/cloud platforms; proficiency with CI/CD tooling and version-controlled development; comfort building web front-ends through Python frameworks; strong communication and presentation skills with experience working directly with senior stakeholders.

 

We're looking for a senior engineer who builds things that matter and isn't afraid to own the room when presenting them. You'll design and ship Python-based web applications and reporting tools that senior technology leaders across the firm rely on daily, deploying into Cloud Foundry and AWS via CI/CD pipelines. You're comfortable working with agentic AI to accelerate delivery and push past what legacy tools can do. The technical bar is high: production-grade Python, clean architecture, version-controlled everything. But so is the visibility bar: you'll work directly with program leads and senior stakeholders, translate requirements into working software, and present your work with confidence. This is not a background coding role. If you build it, you own it, and you stand behind it. Strong candidates bring a bias for modern tooling, a track record of shipping software non-technical stakeholders actually use, and the presence to lead a conversation as well as a codebase.