QA Automation Engineer

About the role

We are looking for an experienced QA Automation Engineer to lead the quality assurance effort for Yakeey’s PropTech platform. The role focuses on building automated test solutions and ensuring the reliability, performance, and fairness of AI‑driven features across web, API, and mobile applications.

Key responsibilities

• Design, develop and maintain automated test frameworks for web, API, mobile and AI/ML components.
• Create comprehensive test plans covering functional, regression, integration, performance and end‑to‑end scenarios.
• Perform specialised testing of AI/ML models, including data validation, accuracy checks, bias detection, drift monitoring and adversarial testing.
• Integrate automated tests into CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions) to enable continuous testing.
• Leverage AI‑assisted testing tools to improve coverage and efficiency.
• Identify, document and track defects, collaborate with developers and data scientists to resolve issues and conduct root‑cause analysis.
• Promote QA best practices and contribute to process improvements.

Required profile

• Bachelor’s degree in Computer Science, Software Engineering or related field, or equivalent experience.
• Minimum 3 years of professional experience in software quality assurance with a focus on test automation.
• Proven experience testing AI/ML systems, including model validation and bias/fairness testing.
• Strong programming skills for test scripting.

Required skills

• Python, Java, JavaScript
• Selenium, Cypress, Playwright, Appium, Robot Framework, pytest
• CI/CD tools: Jenkins, GitLab CI, GitHub Actions
• Version control: Git
• AI/ML concepts and testing tools (TensorFlow, PyTorch, model validation, bias detection)
• API testing, mobile testing, performance testing