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Applaudo • Guatemala City, Guatemala Department, Guatemala
Role & seniority: Senior QA Automation Engineer (mobile-focused), with technical leadership responsibilities
Mobile automation: Appium (Android, iOS), XCUITest, UiAutomator2, Espresso
Automation frameworks/tools: Selenium WebDriver, WebDriverIO, Cypress, mobile automation frameworks
Cross-platform test design: reuse of test cases across iOS/Android
Device farms: BrowserStack, SauceLabs, AWS Device Farm
API testing/automation integration into test flows
CI/CD: Jenkins, GitHub Actions, GitLab CI (mobile automation pipelines)
Version control: Git, GitHub, Bitbucket
Agile/Scrum practices
Design, develop, execute, and maintain mobile (iOS & Android), web, and API automated tests; define scalable cross-platform automation strategies
Review specs, identify risks, mentor other QA engineers, and lead test automation initiatives; monitor progress and quality metrics
Integrate mobile automation with CI/CD pipelines and device farms; diagnose defects with clear reporting and drive resolution
5+ years Software QA; 4+ years mobile automation
Strong Appium experience for Android and iOS; proficiency with XCUITest, UiAutomator2, Espresso
Experience building cross-platform automation frameworks; API testing/automation integration
CI/CD and version control proficiency; strong Agile/Scrum understanding
Excellent analytical skills and documentation; leadership/mentori
Job Description
About You
You are a Senior QA Automation Engineer with a strong Mobile focus, passionate about delivering high-quality, stable, and reliable mobile-first software products. You thrive in environments where quality ownership, automation at scale, and technical leadership are core values.
You are comfortable owning mobile automation initiatives, designing robust cross-platform strategies, and collaborating closely with Product and Development teams to ensure excellence across the entire software lifecycle. You enjoy reviewing technical specifications, identifying risks early, and proactively driving improvements rather than waiting for direction.
Bachelor’s Degree in Computer Science, Software Engineering, or a related field or equivalent practical experience. 5+ years of experience in Software Quality Assurance. 4+ years of hands-on experience in QA Automation, with a strong focus on mobile automation. Strong hands-on experience with Appium, automating both Android and iOS applications. Proven experience automating iOS applications in real production environments. Solid understanding of Appium drivers such as XCUITest, UiAutomator2, and Espresso. Strong experience with automation frameworks and tools such as Selenium WebDriver, WebDriverIO, Cypress, and mobile automation frameworks. Experience designing cross-platform automation frameworks, enabling reuse of test cases across iOS and Android. Experience with mobile device farms such as BrowserStack, SauceLabs, AWS Device Farm, or similar. Experience integrating API testing and API automation into mobile and end-to-end test flows. Knowledge of CI/CD processes and tools (Jenkins, GitHub Actions, GitLab CI, or similar), including running mobile automation pipelines. Proficiency with version control systems (Git, GitHub, Bitbucket). Strong understanding of Agile / Scrum methodologies. Excellent analytical and problem-solving skills with strong attention to detail. Ability to create and maintain clear, structured QA and automation documentation. Strong leadership mindset, with experience mentoring or guiding other QA engineers. Experience in travel, airline, or e-commerce platforms. (Nice to have) Performance, stability, or reliability testing experience. (Nice to have)
Plan, analyze, design, develop, execute, and maintain manual and automated test scenarios, with a strong emphasis on mobile automation. Review and analyze technical and functional specifications to ensure comprehensive coverage for mobile, web, and API applications. Design, implement, and execute automated tests for mobile (iOS & Android), web, and API applications. Define and evolve mobile automation strategies, ensuring scalability, stability, and cross-platform compatibility. Configure and execute customer-focused test scenarios aligned with business and mobile user experience requirements. Identify, document, track, and report defects clearly and effectively, partnering with development teams for resolution. Ensure overall product stability, reliability, and performance, particularly in mobile environments. Collaborate closely with Product Managers, Developers, and QA team members throughout the SDLC. Actively support and lead test automation initiatives, including mentoring and technical guidance for other QA engineers. Monitor test execution progress, results, and exit criteria (Definition of Done). Support mobile automation execution in CI/CD pipelines, with and without device farms. Automate the generation and delivery of test progress, quality metrics, and summary reports. Define, track, and analyze quality metrics to continuously improve testing effectiveness. Contribute to the continuous improvement of QA processes, standards, and best practices, with a strong focus on mobile quality.
Additional Information
About Us
We Are Engineered Different.
At Applaudo, talented people design, build, and scale meaningful, AI-powered solutions that create real business impact. As an AI-native organization, we collaborate across design, development, cloud, data, and artificial intelligence to turn ideas into scalable products that transform how companies operate, make decisions, and grow.
We are building a high-performance culture grounded in five values: Empowering Excellence, Collaborative Teamwork, Unsolicited Respect, Consistent Transparency, and Efficient Communication. These define how we work, how we support one another, and how we hold ourselves accountable.
Applaudo is a place for people who want to learn fast, take ownership, and work alongside strong teams they are proud to belong to. Joining us means being part of an organization that is evolving intentionally, investing in modern ways of working, and leading AI-native transformation at scale.