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Lead Software Engineer - Java, Distributed Systems, AI/ML

Job

JP Morgan Chase Company

Jersey City, NJ (In Person)

Full-Time

Posted 4 days ago (Updated 1 day ago) • Actively hiring

Expires 6/23/2026

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Job Description

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 Lead Software Engineer at JPMorganChase within Commercial & Investment Bank's Equity Derivatives 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. 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. Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others 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 Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Bachelor's degree in computer science, Engineering, Mathematics, or other related disciplines 5+ years of hands-on experience in Java development Hands-on experience with distributed systems (scalability, resiliency, low-latency design, observability)
Must:
Familiarity or practical exposure to AI/ML-enabled solutions (e.g., applying AI to workflow automation, decision support, or operational efficiency) Excellent problem-solving skills with the ability to work through ambiguity and diagnose issues end-to-end Clear, proactive communication and strong collaboration across engineering and business partners Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Preferred qualifications, capabilities, and skills 8+ years of experience in Java Development Good knowledge of Equity Derivatives Products and Pricing Experience in Python programming language

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