Lead Software Engineer - AI-Driven Trading Systems

JPMorgan Chase & Co.

Houston (TX)

On-site

USD 140,000 - 200,000

Full time

4 days ago

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Job summary

JPMorgan Chase & Co. in Houston seeks a Lead Software Engineer to join the Consumer and Community Banking - Equities Sales & Trading Technology team.

You will contribute as a core technical leader, delivering secure, scalable, high‑quality software across trading systems and UI layers. As a senior engineer, you will drive design, code reviews, and AI-assisted development practices, mentor teammates, and help implement resilient, low‑latency order management capabilities for global flows such as

Qualifications

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
Advanced in one or more programming language(s), TypeScript/React or C#/.NET.
Professional experience building high performance UIs using web or native stacks
Experience in Distributed Systems, UX / UIand Web Development & Services
Demonstrated experience leading effective use of approved AI‑assisted software development tools with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Proficient in all aspects of the Software Development Life Cycle
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Responsibilities

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
Develops secure and high-quality production code, and reviews and debugs code written by others
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.
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes‑oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.
Develops high performance, low latency order management systems and GUIs to support global trading desks and flows, like Cash, Delta1 and ETF RFQ.