Sr QA Automation Engineer YAKEEY
Plateforme digitale pour simplifier l'achat, la vente et la location immobilière.
CDI
الدار البيضاء
Télétravail fréquent
Salaire : non spécifié
> 5 ans
Les compétences que l’on cherche
API Testing
Intégration continue
IA générative
Aptitude à résoudre les problèmes
Tests logiciels
+26
Votre nouvelle entreprise
الدار البيضاء
120 collaborateurs
Mobile Apps
E-commerce
Commercial Real Estate
Âge moyen : 31
Créée en 2023
Yakeey révolutionne l’immobilier transactionnel !
Notre plateforme 100% digitale simplifie et accélère chaque étape de l’achat, de la vente ou de la location d’un bien immobilier.
Nous connectons toutes les parties prenantes autour d’un parcours fluide et sécurisé, en instaurant une véritable chaîne de confiance grâce à la puissance de la technologie et de la data.
Notre force? Une communauté engagée de conseillers immobiliers, YakeeyPRO, qui accompagne chaque utilisateur de manière personnalisée, avec un haut niveau de professionnalisme - du 1er clic à la signature finale.
Vos missions au quotidien
👤 About the Role
We are seeking an experienced QA Engineer with strong expertise in test automation and AI/ML testing to join our growing engineering team. In this role, you will drive the quality assurance process for our software products, with a particular emphasis on automating tests and ensuring the reliability, performance, and fairness of AI-driven features. You will collaborate closely with developers, data scientists, and product teams to deliver high-quality, scalable solutions in an Agile environment.
As a member of the QA team, you will not only execute tests but also design automation frameworks and incorporate innovative AI-assisted testing practices to accelerate our release cycles while maintaining exceptional standards.
🔎 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 specialised testing for AI/ML models, including data validation, model accuracy, bias detection, drift monitoring, and adversarial testing. -
Integrate automated tests into CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions) to enable continuous testing.
Leverage AI-driven tools and techniques (e.g., 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.
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.
Ce que l’on cherche
🎯 Qualification
Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
5+ years of professional experience in software quality assurance, focused on test automation.
Proven experience testing AI/ML systems (e.g., model validation, data pipeline testing, generative AI outputs).
Strong programming skills in languages such as Python, Java, JavaScript, or similar for scripting automated tests.
Hands-on expertise with automation tools and frameworks (e.g., Selenium, Cypress, Playwright, Appium, Robot Framework, pytest).
Familiarity with AI/ML concepts (e.g., 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 (e.g., Testim, Mabl, Applitools) or generative AI for test case creation.
Background in data quality assurance for ML pipelines (e.g., Great Expectations, dbt testing).
Avantages
Nos étapes de recrutement
The recruitment process at Yakeey includes:
A first conversation with the HR team to get to know you and introduce our project
A test or a practical case study related to the position
A role-specific interview with your future manager
A final meeting with top management (if needed)
If everything is approved, we will send you an offer, and off we go!
🎉 On your first day, the HR team will welcome you and immerse you in the Yakeey universe: our mission, our challenges, and our tools. Then you’ll join your team for a tailored onboarding experience.
