QA Automation Engineer
AIQ -
Dubai, United Arab EmiratesJob Details
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Job Description
About AIQ
AIQ is an Abu Dhabi based joint venture company between Presight and ADNOC, which focuses on developing artificial intelligence technologies.
AIQ develops and commercializes AI products and applications for energy world.
It aims in providing end-to-end solutions by using its data, cloud and talents to develop AI solutions that seek to reduce costs and generate revenue for its clients.
AIQ embodies an innovative and entrepreneurial spirit that embraces challenges to push boundaries and seeks to welcome professionals to its team that share the desire to make meaningful and impactful contributions to its mission.
Always on the cutting edge of technology, AIQ provides its talent all the opportunities to thrive and excel.
Working at AIQ includes dealing with massive data sets, an AI infrastructure that is powered by the latest NVIDIA GPU cloud computing platform and access to limitless computing, storage and network resources.
About The Role
AIQ is looking for a QA Automation Engineer to drive quality at scale across our tech stack through smart, scalable test solutions.
Join us to shape the future of AI-driven platforms by collaborating closely with design, product, and engineering teams.
Responsibilities
Collaborate with the software design and product teams to review user stories, clarify requirements, and define clear acceptance criteria.
Identify weaknesses in software applications and prioritize high-impact test areas.
Design and implement robust automated test strategy, including data-driven testing and data visualization validation.
Develop and maintain scalable automated test scripts for frontend, backend, and APIs using modern automation frameworks.
Review and analyze bug reports, conduct root cause analysis, and follow up on resolution.
Ensure test coverage across edge cases, negative flows, and performance-sensitive components.
Contribute to test data management and simulate production-like scenarios to validate data correctness.
Maintain test results documentation, dashboards, and reporting for stakeholders.
Support continuous integration and deployment (CI/CD) pipelines by integrating automated tests.
Promote a culture of quality across the engineering team through early testing, peer reviews, and code/test coverage analysis.
Collaborating with the design team to solve application faults.
Qualifications
AIQ is an Abu Dhabi based joint venture company between Presight and ADNOC, which focuses on developing artificial intelligence technologies.
AIQ develops and commercializes AI products and applications for energy world.
It aims in providing end-to-end solutions by using its data, cloud and talents to develop AI solutions that seek to reduce costs and generate revenue for its clients.
AIQ embodies an innovative and entrepreneurial spirit that embraces challenges to push boundaries and seeks to welcome professionals to its team that share the desire to make meaningful and impactful contributions to its mission.
Always on the cutting edge of technology, AIQ provides its talent all the opportunities to thrive and excel.
Working at AIQ includes dealing with massive data sets, an AI infrastructure that is powered by the latest NVIDIA GPU cloud computing platform and access to limitless computing, storage and network resources.
About The Role
AIQ is looking for a QA Automation Engineer to drive quality at scale across our tech stack through smart, scalable test solutions.
Join us to shape the future of AI-driven platforms by collaborating closely with design, product, and engineering teams.
Responsibilities
Collaborate with the software design and product teams to review user stories, clarify requirements, and define clear acceptance criteria.
Identify weaknesses in software applications and prioritize high-impact test areas.
Design and implement robust automated test strategy, including data-driven testing and data visualization validation.
Develop and maintain scalable automated test scripts for frontend, backend, and APIs using modern automation frameworks.
Review and analyze bug reports, conduct root cause analysis, and follow up on resolution.
Ensure test coverage across edge cases, negative flows, and performance-sensitive components.
Contribute to test data management and simulate production-like scenarios to validate data correctness.
Maintain test results documentation, dashboards, and reporting for stakeholders.
Support continuous integration and deployment (CI/CD) pipelines by integrating automated tests.
Promote a culture of quality across the engineering team through early testing, peer reviews, and code/test coverage analysis.
Collaborating with the design team to solve application faults.
Qualifications
Job Requirements
Educational Requirements
Bachelor’s degree in computer science, software engineering, or a similar field.
Minimum Experience & Knowledge & Skills
3+ years of experience in QA automation for web-based applications.
Strong experience with data-driven testing frameworks and validating data visualizations, charts, or reporting dashboards.
Proficiency in test automation tools such as Cypress, Playwright, or Selenium.
Good understanding of JavaScript/TypeScript (Node.js, React, Angular) or Python (Flask, Django).
Hands-on experience with test frameworks such as Mocha, Jest, pytest, or Unittest.
Comfortable writing modular, reusable test code and maintaining automation libraries.
Deep knowledge of QA methodologies, test plan development, and defect lifecycle.
Experience with CI/CD tools (e.g., GitLab CI, Jenkins, GitHub Actions) and integration of automated tests into pipelines.
Familiarity with version control systems such as Git.
Solid understanding of REST APIs and tools for API automation.
Basic experience working with databases and validating data flows (SQL, NoSQL).
Familiarity with Agile/Scrum environments and participation in sprint ceremonies.
Excellent analytical thinking, problem-solving, and communication skills.
High attention to detail and a proactive approach to preventing issues before release.
Experience in Microsoft Power BI is a big plus.
Bachelor’s degree in computer science, software engineering, or a similar field.
Minimum Experience & Knowledge & Skills
3+ years of experience in QA automation for web-based applications.
Strong experience with data-driven testing frameworks and validating data visualizations, charts, or reporting dashboards.
Proficiency in test automation tools such as Cypress, Playwright, or Selenium.
Good understanding of JavaScript/TypeScript (Node.js, React, Angular) or Python (Flask, Django).
Hands-on experience with test frameworks such as Mocha, Jest, pytest, or Unittest.
Comfortable writing modular, reusable test code and maintaining automation libraries.
Deep knowledge of QA methodologies, test plan development, and defect lifecycle.
Experience with CI/CD tools (e.g., GitLab CI, Jenkins, GitHub Actions) and integration of automated tests into pipelines.
Familiarity with version control systems such as Git.
Solid understanding of REST APIs and tools for API automation.
Basic experience working with databases and validating data flows (SQL, NoSQL).
Familiarity with Agile/Scrum environments and participation in sprint ceremonies.
Excellent analytical thinking, problem-solving, and communication skills.
High attention to detail and a proactive approach to preventing issues before release.
Experience in Microsoft Power BI is a big plus.
