Role Summary

We are seeking an experienced Senior 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 senior member of the QA team, you will not only execute tests but also design automation frameworks, mentor juniors, and incorporate innovative AI-assisted testing practices to accelerate our release cycles while maintaining exceptional standards.

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 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.

• 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 (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).

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.