Lead Software Engineer-Test Automation , Python /Java , UI , Playwright
Summary
Lead a team building end-to-end test automation for JPMorgan’s Digital Onboarding, using Python/Java and Playwright to ensure secure, high-quality client onboarding flows.
Job Description
As a Lead Software Engineer at JPMorganChase within the Commercial and Investment Banking- Test Integration and Implementation Payments 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. You play a key role in ensuring end-to-end business flow testing is comprehensive, efficient, and focused on quality and coverage in advance of production implementation of external client-facing software.
Job responsibilities
Job responsibilities
- Execute creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
- Drive the build of end-to-end test automation for the Digital Onboarding team, covering new-to-bank and existing-to-bank clients onboarding to products aligned with multiple client-facing channels.
- Develop secure and high-quality testing code; review and debug code written by others.
- Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes — including AI-assisted code review, refactoring, test strategy acceleration, and incident and root-cause analysis support.
- Establish consistent validation standards encompassing secure coding, peer review, and automated testing, while promoting reuse of effective patterns across the team.
- Apply 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.
- Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
- Lead evaluation sessions with internal teams to drive outcomes-oriented review of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience.
- Hands-on practical experience delivering system design, application development, testing, and operational stability.
- Advanced proficiency in one or more programming languages, including Python, Java, or Playwright.
- Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools for coding, code review, test acceleration, and 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 and outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe and compliant adoption within delivery practices.
- Proficiency across all aspects of the Software Development Life Cycle.
- Advanced understanding of agile methodologies such as continuous integration and continuous delivery, application resiliency, and security.
- In-depth knowledge of the financial services industry and its information technology systems.
- Practical cloud-native experience.
- Ability to work independently, demonstrating resourcefulness and the ability to navigate a large organization.
- Experience managing senior stakeholders and a team of automation testers, with strong influence and negotiation skills and a willingness to partner on automation across organizational boundaries
Preferred qualifications, capabilities, and skills include:
- Payments business knowledge including client-facing channels
- Strong test automation experience, in either QA or UAT