Lead Software Engineer - Java Fullstack

As a Lead Software Engineer at JPMorganChase within the Consumer and Community Banking, 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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Execute creative software solutions, design, development, and technical troubleshooting, thinking beyond routine or conventional approaches to build solutions or break down technical problems.

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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 and 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 communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies and Adds to team culture of diversity, opportunity, inclusion, and respect.

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Promptly investigate and resolve issues, ensuring they do not resurface and Continuously update technologies and patterns to keep systems current.

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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.

• 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.

Required qualifications, capabilities, and skills

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Formal training or certification on software engineering concepts and 5+ years of hands-on experience in software engineering, including system design, application development, testing, and operational support.

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Proficiency in back-end technologies (e.g., Java, Springboot,) with experience building microservices-based applications; for full-stack roles, proficiency also includes front-end technologies (e.g., HTML, CSS, JavaScript, Typescript, React, Angular).Strong proficiency in Java and related frameworks (Spring, Spring Boot, Hibernate).

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Experience working with cloud platforms (e.g., AWS, Azure, GCP), distributed systems, and web technologies, including RESTful APIs and web services, WebSockets, and JSON.

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Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.

• Experience with database technologies (SQL, MySQL, PostgreSQL) and Experience with version control systems (Git).
• 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.
• 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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Ability to drive broader impact by sharing and contributing best practices.

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Experience in the banking domain, AWS certification.

• Understanding of RESTful API design and integration.