Yakeey is a fast‑growing PropTech company headquartered in Casablanca, Morocco. Its mission is to simplify and accelerate real‑estate transactions by connecting buyers, sellers, renters, and agents through a single digital platform. The company operates a multi‑product portfolio that includes a property marketplace, a credit application and processing platform, and a valuation tool. These products are powered by a modern data architecture that underpins analytics, reporting, and AI‑driven services.
The Senior QA Automation Engineer will be responsible for designing, developing, and maintaining automated test suites that validate the functionality, performance, and security of Yakeey’s products. This role requires a blend of technical expertise, strategic thinking, and collaboration across cross‑functional teams.
Applicants should have 6‑9 years of experience in software testing and automation, with a strong background in quality assurance for complex, data‑intensive applications. Experience in the real‑estate or PropTech domain is highly desirable.
Proficiency in programming languages such as Python, Java, and JavaScript is essential. Candidates must be comfortable with automation frameworks (Selenium, Cypress, Playwright, Appium, Robot Framework, pytest) and have hands‑on experience with CI/CD pipelines, Git, Jira, and Azure DevOps. Cloud platform knowledge (AWS, Azure, GCP), containerization (Docker, Kubernetes), and performance testing tools (JMeter, Locust) are also required. Familiarity with AI testing, Great Expectations, dbt testing, and ISTQB certification is a plus.
Applicants should hold a Bachelor’s degree (BAC +5) and demonstrate fluency in both English and French. The role is classified as a senior position and offers a hybrid work model (HB).
Yakeey offers a competitive senior‑level compensation package, a dynamic startup environment, and opportunities for professional growth within the rapidly evolving PropTech sector.
Interested candidates are encouraged to submit their application through the Jobzyn platform. The selection process includes a technical assessment focused on automation and AI testing, followed by interviews with the engineering and product teams.