Yakeey is a leading PropTech startup headquartered in Casablanca, Morocco, dedicated to transforming the real‑estate market through technology. Our platform connects buyers, sellers, renters, and agents, offering a seamless digital experience that accelerates transactions and enhances transparency.

We are currently seeking a Senior QA Automation Engineer to join our engineering team. The role is pivotal in maintaining the quality of our multi‑product portfolio, which includes a property marketplace, a credit application and processing platform, and a valuation tool. The ideal candidate will have a strong background in test automation, AI/ML testing, and a passion for continuous improvement.

Key Responsibilities

• Design, develop, and maintain robust automated test frameworks and scripts for web, API, mobile, and AI/ML components.
• Create comprehensive test plans, strategies, and cases covering functional, regression, integration, performance, and end‑to‑end testing.
• Perform specialized testing for AI/ML models, including data validation, model accuracy, 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‑driven tools and techniques (AI‑assisted test generation, intelligent test orchestration) to enhance test coverage and efficiency.
• Identify, document, and track defects; collaborate with development teams to resolve issues and perform root cause analysis.
• Mentor junior QA engineers, promote best practices, and contribute to improving overall QA processes and methodologies.
• Stay current with emerging trends in QA automation, AI testing, and quality engineering tools.

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
• 5+ years of professional experience in software quality assurance, with at least 3 years focused on test automation.
• Proven experience testing AI/ML systems (model validation, data pipeline testing, generative AI outputs).
• Strong programming skills in Python, Java, JavaScript, or similar for scripting automated tests.
• Hands‑on expertise with automation tools and frameworks (Selenium, Cypress, Playwright, Appium, Robot Framework, pytest).
• Familiarity with AI/ML concepts (machine learning workflows, bias/fairness testing, TensorFlow/PyTorch ecosystems) and related testing tools.
• Experience with CI/CD tools, version control (Git), and issue tracking systems (Jira, Azure DevOps).
• ISTQB certification (Foundation or Advanced Level) or equivalent is a strong plus.
• Excellent analytical, problem‑solving, and communication skills; ability to work in a fast‑paced Agile/Scrum environment.

Preferred Skills

• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Knowledge of performance testing tools (JMeter, Locust) and API testing (Postman, REST Assured).
• Exposure to AI‑powered testing tools (Testim, Mabl, Applitools) or generative AI for test case creation.
• Background in data quality assurance for ML pipelines (Great Expectations, dbt testing).

Recruitment Process

1. AI interview: initial conversation with the HR team to understand your background and introduce the project.
2. Practical case study or test related to the position.
3. Role‑specific interview with your future manager.
4. Final meeting with top management (if needed).
5. Offer and onboarding.

Work Environment

Hybrid working model (office in Casablanca and remote). The role requires occasional on‑site presence for team collaboration and knowledge sharing.

Benefits

Competitive salary, equity options, health insurance, continuous learning opportunities, and a culture that values innovation and impact.