QA Engineer – AI Testing & Test Automation | Abu Dhabi, UAE

Cloudjune; United Arab Emirates; On-site; AED 240,000 - 360,000; Full time

Benefits offered by this job

Flexible Onsite/Hybrid work model

Career growth opportunities

Professional development and training

Job summary

Cloudjune in Abu Dhabi, UAE, is seeking an experienced QA Engineer with a focus on AI testing and test automation to join a growing technology team. This onsite/hybrid role targets professionals with 6+ years in QA, automation, API testing, and enterprise software validation, with exposure to AI-powered apps and LLMs.

You will design scalable automation frameworks, validate enterprise APIs, and ensure the quality and performance of AI-driven software solutions.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Software Engineering, or related discipline.

Responsibilities

• Design, develop, and maintain scalable test automation frameworks.
• Develop end-to-end automation strategies for enterprise applications.
• Perform UI, API, and integration testing.
• Validate REST APIs, schema validation, and contract verification.
• Build automated test suites using Playwright, Cypress, Selenium, Appium, or Detox.
• Implement performance testing using k6, JMeter, or Locust.
• Design and execute CI/CD quality assurance workflows.
• Collaborate with developers and DevOps teams to improve software quality.
• Perform AI and Large Language Model (LLM) testing.
• Evaluate RAG systems, AI agent workflows, and LLM outputs.
• Validate grounding, retrieval quality, citation accuracy, and multi-step reasoning.
• Perform data and machine learning pipeline testing.
• Conduct security, accessibility, and resilience testing.
• Prepare test reports and quality metrics.
• Drive continuous improvement across enterprise quality engineering initiatives.

Job description

Location

Abu Dhabi, United Arab Emirates (UAE)

Job Category

• Information Technology (IT) & Software
• Engineering & Technical

Job Overview

An exciting opportunity is available for an experienced QA Engineer specializing in AI Testing and Test Automation to join a growing technology team in Abu Dhabi, UAE. This Onsite/Hybrid role is ideal for professionals with 6+ years of experience in quality assurance, automation engineering, API testing, and enterprise software validation, along with exposure to AI-powered applications and Large Language Models (LLMs).

The successful candidate will design scalable automation frameworks, develop comprehensive testing strategies, validate enterprise APIs, and ensure the quality, reliability, and performance of AI-driven applications. Working closely with engineering, DevOps, and product teams, the QA Engineer will contribute to the delivery of secure, high-performing, and production-ready software solutions.

This position offers excellent career growth opportunities for QA professionals looking to expand their expertise in AI testing, enterprise automation, cloud-native applications, and modern DevOps practices. Continuous professional development, technical training, and industry-recognized certification programs can further accelerate long-term career advancement.

Key Responsibilities

• Design, develop, and maintain scalable test automation frameworks.
• Develop end-to-end automation strategies for enterprise applications.
• Perform UI, API, and integration testing.
• Validate REST APIs, schema validation, and contract verification.
• Build automated test suites using Playwright, Cypress, Selenium, Appium, or Detox.
• Implement performance testing using k6, JMeter, or Locust.
• Design and execute CI/CD quality assurance workflows.
• Collaborate with developers and DevOps teams to improve software quality.
• Perform AI and Large Language Model (LLM) testing.
• Evaluate RAG systems, AI agent workflows, and LLM outputs.
• Validate grounding, retrieval quality, citation accuracy, and multi-step reasoning.
• Perform data and machine learning pipeline testing.
• Conduct security, accessibility, and resilience testing.
• Prepare test reports and quality metrics.
• Drive continuous improvement across enterprise quality engineering initiatives.

Requirements & Qualifications

Education

• Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or a related discipline.

Experience

• Minimum 6+ years of experience in Quality Assurance and Test Automation.
• Strong experience designing enterprise automation frameworks.
• Hands-on experience with API testing and contract validation.
• Experience implementing CI/CD quality practices.
• Experience with performance testing methodologies.
• Ability to work independently and lead quality initiatives.
• Excellent analytical, communication, and problem-solving skills.

Technical Skills

• Test Automation
• Playwright
• Cypress
• Selenium
• Appium
• Detox
• Python
• JavaScript
• TypeScript
• Java
• REST APIs
• Schema Validation
• Contract Testing
• GitHub Actions
• GitLab CI
• Jenkins
• k6
• JMeter
• Locust
• CI/CD
• AI Testing
• Large Language Models (LLMs)
• RAG Systems
• LangSmith
• Ragas
• DeepEval
• Promptfoo
• Braintrust
• Great Expectations
• Soda
• Airflow
• Kubeflow
• MLflow
• OWASP
• Fuzz Testing
• Adversarial Testing
• axe-core
• Pa11y
• WCAG Compliance
• Chaos Engineering
• Resilience Testing

Preferred Certifications

• ISTQB Certified Tester
• Playwright Automation Certification
• Certified Selenium Professional
• AWS, Azure, or Google Cloud Certification
• Certified Kubernetes Application Developer (Preferred)
• AI Testing or Machine Learning Testing Certifications

Salary, Benefits & Career Growth

Benefits

• Opportunity to work on enterprise AI-powered software platforms.
• Exposure to modern automation frameworks and cloud-native technologies.
• Collaborative environment with engineering, DevOps, and AI teams.
• Flexible Onsite/Hybrid work model.
• Opportunity to contribute to innovative AI and enterprise software projects.

Career Growth

This role offers excellent opportunities to advance into senior automation engineering, AI quality engineering, test architecture, DevOps quality leadership, and enterprise software quality management. Continuous training, professional development, and technical certification programs can support long-term career progression.