QA Engineer (Riyadh or Remote)

QA Engineer – Riyadh or Remote

Discover the Opportunity:

We’re partnering with an innovative technology organisation that is building scalable digital products and next-generation AI-powered platforms.

This role sits within a collaborative engineering environment focused on delivering high-quality, reliable software products through strong automation, testing, and quality engineering practices.

This is an excellent opportunity for a hands-on QA Engineer who enjoys working closely with engineering and product teams to improve product quality, drive automation, and contribute to modern software delivery practices.

Discover the Responsibilities:

• Design and execute comprehensive testing strategies covering functional, integration, API, UI, regression, and performance testing
• Build and maintain scalable automation frameworks and test suites integrated into CI/CD pipelines
• Perform exploratory and manual testing for complex user journeys, edge cases, and high-risk features
• Own release validation processes, including smoke testing, regression testing, and quality sign-off recommendations
• Analyse quality metrics, defect trends, and test coverage to identify improvements and reduce production issues
• Collaborate closely with developers and engineering teams to improve testability and promote a quality-first engineering culture
• Validate AI-powered and voice-enabled features, including APIs, workflows, latency, fallback behaviours, and end-user experience
• Contribute to continuous improvement of QA processes, tooling, and automation practices

Discover the Requirements:

• 3+ years of experience in software quality assurance or QA engineering roles
• Strong experience with automation tools such as Playwright, Selenium, Cypress, JMeter, or similar
• Proven experience designing and executing test plans, regression suites, and automated testing strategies
• Strong understanding of software testing methodologies and modern QA practices
• Excellent problem-solving, communication, and collaboration skills
• Exposure to CI/CD pipelines and DevOps environments is preferred
• Experience with AI-assisted development tools or testing AI-powered applications is a plus
• Familiarity with agentic AI systems or modern AI workflows would be advantageous