Software QA Engineer (Remoto)

At Smeetz, we are transforming how visitor attractions drive sales and maximize revenue through our integrated commerce (SaaS) platform, driven by AI.
Our mission is to empower attractions like theme parks, museums, theaters, and cultural venues to manage, market, and optimize their offerings more effectively than ever before.
As we continue our rapid growth, we are looking for a passionate and skilled QA Engineer to join our team and help raise the bar for software quality across the company.
As a QA Engineer at Smeetz, you will play a key role in ensuring the reliability, performance, and overall excellence of our products. You will collaborate closely with cross-functional teams, help implement best‑in‑class testing strategies, and contribute directly to delivering seamless, high‑quality user experiences in a fast‑paced and innovative environment.
Test Planning and Strategy
Define and execute clear test plans and strategies with strong coverage, identifying risks early and ensuring all features are properly validated.
Test Execution and Automation
Perform manual and automated tests across web and mobile platforms, maintain automation scripts, analyze results, and track defects until resolved.
Quality Assurance Processes
Apply and improve QA best practices, manage test cases and regressions, review UI quality, and ensure consistent, reliable product releases.
Work closely with product and engineering teams to clarify requirements, resolve issues, share insights, and communicate test results clearly.
Drive improvements in QA tools, processes, and automation, seeking opportunities to increase efficiency and overall product quality.
3 years of experience in software quality assurance, with a focus on manual and automated testing methodologies.

• Understanding of software development lifecycle (SDLC), Agile methodologies, and QA best practices.
• In test automation tools and frameworks (e.g., Cypress, Playwright, JavaScript, TypeScript…)
• Experience with testing APIs.
• Solid understanding of CI/CD pipelines, ideally with GitHub Actions or similar tooling.
• Bachelor’s degree in computer science, Engineering, or related field.

AI-Enhanced Test Automation: Experience leveraging AI tools or techniques to improve test automation efforts, such as implementing self‑healing test scripts, using AI for intelligent test case selection/prioritization, or assisting in automated test script generation.
AI for QA Process Optimization: Proven ability to utilize AI/ML models or tools for enhancing QA processes, for example, in predictive defect analysis (identifying high‑risk areas), intelligent log analysis for faster issue detection, or optimizing test suite execution based on code changes.
Evaluation and Integration of AI QA Tools: Demonstrated experience in researching, evaluating, and integrating AI‑powered testing tools or platforms (e.g., for visual testing, API testing, performance analysis) into existing QA workflows to boost efficiency, coverage, or defect detection capabilities.
Fully remote position, allowing you to work from the comfort of your own space.
Opportunities for professional development and career growth.