Senior QA Automation Engineer (Hybrid)
- Full-time
Job Description
About You
You are a senior QA Automation Engineer who takes ownership of building reliable, scalable automated testing solutions for complex, real-world systems. You enjoy working close to the product, validating end-to-end user workflows, and ensuring quality across UI, backend integrations, and physical environments. You are comfortable operating independently, learning complex systems, and collaborating closely with development and quality teams to reduce risk and increase delivery confidence.
- This is a hybrid position based in Bogotá, Colombia, requiring availability to work onsite as part of a collaborative team environment.
You Bring to Applaudo the Following Competencies:
- 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).
You Will Be Accountable for the Following Responsibilities:
- Design, implement, and maintain automated test solutions for the Android-based Kiosk platform, covering UI workflows and end-to-end scenarios.
- 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.
Qualifications
- 6+ years of experience in QA Automation or Software Engineering.
- Strong Java-based automation experience for Android applications.
- Experience testing complex UI and end-to-end workflows.
- Experience working with cloud-based test environments (AWS).
Additional Information
About Us
At Applaudo, we partner with ambitious companies to transform through technology with an AI-native mindset at the core of how we think, build, and deliver. We combine strategic clarity, world-class execution, and modern engineering practices to help clients accelerate measurable business outcomes and stay competitive.
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 make decisions, and how we hold ourselves accountable.
Applaudo is a place for people who want to grow fast, take ownership, and work alongside strong teams. Joining us means being part of an organization that is evolving intentionally, investing in modern ways of working, and embracing AI as a lever for productivity, innovation, and impact.