Lead Software Engineer - Java, Distributed Systems, AI/ML
JPMorgan ChaseBe 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
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Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
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8+ years of experience in Java Development
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Good knowledge of Equity Derivatives Products and Pricing
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Experience in Python programming language