Senior Lead Software Engineer - Mobile Automation

Drive significant business impact and tackle a diverse array of challenges that span multiple technologies and applications

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorganChase within the Commercial & 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. Job responsibilities: Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others Design, develop, and implement software solutions with a focus on mobile automation, ensuring the delivery of high-quality production code. Collaborate with a global team of technologists to enhance design, analytics, development, coding, testing, and application programming. Maintain and improve software applications and systems, ensuring their operational stability and performance. Plan and coordinate test activities, oversee the development of test cases, and manage defect resolutions. Conduct system software testing, including mobile browser and mobile native application testing using Mobile Cloud Platforms (e.g., SeeTest). Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale. Drives decisions that influence the product design, application functionality, and technical operations and processes Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle 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 Mobile Native Application and Mobile Test Automation Experience Proven use of 1 or more mobile development and emulator packages (Android SDK, iOS XCode, SWIFT, Calabash, Appium, GENYmotion) Experience with Accessibility Testing (ADA Testing Web/Mobile Native App) Manages the development of Test Scenarios and execution of the scenarios across all Testing Phases (IST, Smoke, Functional, Integration, UAT, In-Sprint Automation, UAT, Regression Automation, Production) Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls. Ability to tackle design and functionality problems independently with little to no oversight Serves as a function-wide subject matter expert in one or more areas of focus Preferred qualifications, capabilities, and skills: Exposure to commercial mobile manual/automation test management packages (e.g., Perfecto, Experitest-SeeTest, MobileLabs). Mobile Native Application and Mobile Browser Testing via devices and simulators in both iOS and Android platform Development or test automation tools framework (i.e, Cucumber, Selenium, Appium, Java), test script design in Gherkin format Exposure to commercial mobile manual/automation test management packages (Sage) Practical cloud native experience