Senior, Expert
Lead Software Engineer - Full Stack (Java & React)
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 CORPORATE SECTOR - Employee platform, 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
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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
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Develops secure high-quality production code, and reviews and debugs code written by others
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Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
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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
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Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
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Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
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Formal training or certification in Software Engineering and 5+ years applied experience
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Advanced knowledge of application, data and infrastructure architecture disciplines
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Understanding of architecture and design across all systems.
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10+ years of hands-on experience in Java, JavaScript, React, REST Services.
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3+ years of relational database software development experience.
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10+ years of experience with full development lifecycle from inception through implementation.
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Familiar with development tools such as Jenkins, Git, Jira, etc.
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Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
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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
Preferred qualifications, capabilities, and skills
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Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
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In-depth knowledge of the financial services industry and their IT systems
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Practical cloud native experience, preferably on AWS.
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