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Software Engineer III - Mobile Tester

Open 27d posting dated 2 days ago · reposted 2× · 2 open copies

Summary

Mobile QA engineer at JPMorgan Chase testing iOS/Android apps, writing automated tests (Appium/Espresso/XCUITest), and integrating them into CI/CD pipelines.

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within the Consumer and Community banking's technology team , you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way.

Job responsibilities

  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
  • Contributes to software engineering communities of practice and events that explore new and emerging technologies
  • Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 2+ years applied experience in Quality Engineering / QA, including hands-on mobile application testing across iOS and Android
  • Demonstrated experience performing both manual testing (functional, regression, exploratory) and automated testing for mobile applications
  • Working proficiency with Android Studio and Xcode for building/running apps, inspecting logs, debugging, and working with simulators/emulators
  • Experience with mobile automation frameworks/tools (examples include Appium, Espresso, UIAutomator, XCUITest, XCTest; equivalent frameworks acceptable)
  • Ability to design effective test strategies across layers (UI, API/service, integration) and select the right automation level for stability and ROI
  • Experience testing modern mobile app architectures and patterns (e.g., MVC/MVVM) and understanding of how they impact testability
  • Strong knowledge of CI/CD concepts and experience integrating automated tests into pipelines (e.g., Jenkins, GitHub Actions, Bitrise or similar)
  • Proficiency with Git source control and collaboration workflows (PR reviews, branching strategies, etc.)
  • Solid understanding of mobile security and authentication fundamentals (e.g., OAuth2/OIDC/PKCE, biometrics, secure storage) sufficient to validate expected behaviors and identify risks
  • Strong analytical skills: able to gather information from logs, device signals, and test results to diagnose and communicate issues clearly

Preferred qualifications, capabilities, and skills

  • Experience building or contributing to a mobile test automation framework (page/screen object model, test data strategy, reporting, flake reduction)
  • Experience validating Accessibility on mobile and knowledge of WCAG and Apple/Android accessibility expectations
  • Experience with Design Systems and UI component libraries (including validation of consistency and theming/white-labeling)
  • Experience with API testing tools and practices (e.g., Postman, contract testing, service virtualization) in support of mobile testing
  • Practical cloud-native experience (AWS, Azure, or GCP) as it relates to test environments, pipelines, or observability
  • Familiarity with observability and diagnostics (crash analytics, logging/metrics, performance profiling)
  • Practical experience with AI-assisted productivity tools in QA (e.g., generating test ideas, test data, or automation scaffolding) with appropriate controls

See also

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