Lead Software Engineer - Java, AI, and Automation

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 Commercial & Investment Bank - Payments 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



* The role will involve quality and test advocacy and the individual will need to have hands on Quality Engineering and test automation experience.


* Stay current with advancements in AI, test automation, and quality engineering, and proactively introduce innovative tools and practices to the team.


* 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.


* High level of flexibility and ability to react quickly to changing business needs in a fast-paced environment driven by market pressures.


* The position will be accountable for large projects of high complexity, high risk and high visibility.


* Integrate automated tests into CI/CD pipelines to enable rapid, reliable, and repeatable validation of new features and bug fixes.

Required qualifications, capabilities, and skills



* Formal training or certification on software engineering concepts and 7+ years hands on Software Development Life Cycle experience


* Advanced level experience with building and maintaining testing automation frameworks with strong problem solving skills


* Hands-on practical experience delivering system design, application development, testing, and operational stability


* Advanced in one or more programming language(s), such as Java


* Proficiency in automation and continuous delivery methods


* Hands-on building/maintaining automation frameworks at scale


* Proficient in all aspects of the Software Development Life Cycle


* 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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