Senior QA Mobile Automation Engineer (Hybrid) at ApplaudoStudios

ApplaudoStudios

Bogotá, Bogota, co·3d ago

SeniorFull-timeJavaRustAWSCI/CDAIAPI

Salary Range

$33,150 - $44,850 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are looking for a Senior QA Automation Engineer to join our team at Applaudo. This role focuses on building reliable, scalable automated testing solutions for complex Android-based Kiosk platforms.

Key Responsibilities

→Design, implement, and maintain automated test solutions for the Android-based Kiosk platform
→Extend and evolve existing automation frameworks with a focus on reliability, maintainability, scalability, and reporting
→Execute automation across local emulators, physical kiosk hardware, and cloud-based environments
→Integrate automated testing into CI/CD pipelines to support build validation and release confidence
→Diagnose and resolve complex automation failures related to infrastructure, environments, or system interactions
→Leverage AI-powered tools and techniques to improve automation effectiveness and efficiency
→Collaborate closely with QE Leads and development teams to align automation coverage with product risk and real-world usage
→Document automation strategies, support team adoption, and contribute to shared quality practices

Requirements

✓6+ years of experience in QA Automation or Software Engineering roles
✓Extensive hands-on experience writing test automation in Java, particularly for Android applications with complex, UI-heavy workflows
✓Strong experience using Java-based test automation frameworks for UI and API testing
✓Experience validating end-to-end workflows across UI, backend integrations, and distributed systems
✓Experience executing automation across multiple environments, including local emulators, physical hardware, and cloud-based infrastructure
✓Hands-on experience working with cloud-based test environments, particularly AWS
✓Strong ability to troubleshoot automation failures across multiple layers, including environment setup, infrastructure, and system interactions
✓Ability to independently learn and model complex systems without detailed guidance
✓Strong problem-solving and analytical skills
✓Experience collaborating closely with QE Leads and development teams to align automation coverage with real-world usage and quality risks
✓Interest in deep technical ownership as an individual contributor, without people management responsibilities
✓Experience leveraging AI tools to improve automation efficiency, test creation, refactoring, failure analysis, or documentation (nice to have)