Lead Software Engineer-Test Automation , Python /Java , UI , Playwright

JPMorgan Chase & Co.; Plano (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, TX is seeking a Lead Software Engineer to advance testing automation, secure coding, and AI-assisted engineering within the Digital Onboarding and Payments Tech teams.

You will guide end-to-end testing, collaborate across teams, and drive architectural reviews while ensuring secure, scalable software delivery in a fast-paced financial environment.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands-on practical experience delivering system design, development, testing, and operational stability.
• Advanced proficiency in programming languages including Python, Java, or Playwright.

Responsibilities

• Execute creative software solutions and troubleshoot complex problems beyond routine approaches.
• Drive end-to-end test automation for onboarding and client onboarding across channels.
• Develop secure, high-quality testing code and review others' code.
• Promote enterprise AI-assisted engineering practices to improve code quality, speed, and reliability.
• Establish validation standards for secure coding, peer review, and automated testing.

Skills

Software engineering

Test automation

AI-assisted engineering

Agile methodologies

Leadership

Education

Software engineering certification

Bachelor's degree in CS or related field

Tools

Python

Java

Playwright

Job description

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

• 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