Lead Software Engineer - SDET Playwright Job Plano area,Texas USA,Software Development

As a Lead Software Engineer at JP Morgan Chase 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

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.
Lead a team of software engineers / SDETs (Software Development Engineer in Test) to deliver, execute, validate, and trouble-shoot in support of software release cycles.
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.
Manage stakeholders through executive communication and presentations.

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, and 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