Lead Software Engineer - Fullstack

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 the Global Finance Technology, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job Responsibilities:

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Deliver end-to-end solutions in the form of cloud-native, microservices-based applications, leveraging the latest technologies and best industry practices.

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Use domain modeling techniques to build best-in-class business products, structuring software for clarity, testability, and evolution.

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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.

• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.

• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.

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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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Promptly investigate and resolve issues, ensuring they do not resurface.

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Continuously update technologies and patterns to keep systems current.

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Design and build solutions that avoid single points of failure using scalable architectural patterns.

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Design and build scalable, secure, and reliable solutions by leveraging modern architectural patterns that ensure zero-downtime releases and optimize data performance.