Senior QA Automation Engineer

About the Company:

AIQ is an Abu Dhabi-based technology company that develops and deploys industrial artificial intelligence (AI) technologies at scale, focused on the energy sector. As a venture between Presight (G42) and ADNOC, AIQ has productized 15 AI-enabled solutions that support clients to perform better, protect teams and equipment, keep operations sustainable, and rapidly scale successes. The organization embraces an innovative and entrepreneurial spirit, looking to push boundaries and solve transformational challenges across industry. It welcomes professionals that share the desire to make meaningful and impactful contributions to the mission to deliver responsible AI to the heart of industrial processes. Always on the forefront of technology, AIQ provides its talent with an environment to thrive and excel. Working at AIQ includes participating in some of the most significant industrial transformation projects, interacting with massive data pools, utilizing sophisticated AI infrastructure that is powered by a NVIDIA GPU cloud computing platform, and access to abundant computing, storage, and network resources made available from across the G42 ecosystem.

Overview:

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 Senior 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:

• Partner with product managers, architects, and senior developers to refine complex user stories, establish precise acceptance criteria, and influence design for testability and quality.

• Proactively identify systemic weaknesses in applications and infrastructure, prioritizing high-impact areas and defining risk-based testing strategies.

• Architect and evolve a comprehensive automated testing framework, incorporating data-driven, performance, and visual validation approaches across multiple platforms.

• Design, implement, and optimize advanced automated test suites for frontend, backend, APIs, and integration layers using state-of-the-art frameworks and tools.

• Lead root cause analysis of critical defects, mentor engineers in best practices for defect prevention, and ensure robust resolution tracking.

• Drive end-to-end test coverage, including edge cases, failure modes, scalability, and security-sensitive components.

• Oversee test data strategy, ensuring realistic production-like scenarios and governance of sensitive data.

• Provide executive-level reporting on quality metrics through advanced dashboards, trend analysis, and predictive insights.

• Champion integration of testing within CI/CD pipelines, ensuring seamless automation and continuous quality gates.

• Act as a quality evangelist within the engineering organization, promoting early testing, peer review rigor, and measurable improvements in code/test coverage.

• Collaborate with cross-functional teams to proactively resolve complex application and system issues, influencing technical decisions with a quality-first mindset.

Qualifications:

Educational Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field. Advanced certifications in software testing or automation are an advantage.

Minimum Experience, Knowledge & Skills

• 6 years of professional experience in QA automation for complex, data-intensive, and web-based enterprise applications.

• Proven expertise in designing and executing data-driven testing strategies, with hands-on validation of advanced data visualizations, analytics dashboards, and reporting systems.

• Deep proficiency with modern automation tools and frameworks such as Cypress, Playwright, or Selenium, including building and scaling custom automation frameworks.

• Strong programming skills in JavaScript/TypeScript (Node.js, React, Angular) and/or Python (Flask, Django), with the ability to debug and contribute to application code when needed.

• Advanced experience with unit and integration test frameworks such as Mocha, Jest, pytest, or Unittest, and the ability to mentor junior engineers in their use.

• Demonstrated ability to write modular, reusable, and scalable test code; experienced in maintaining robust automation libraries.

• In-depth knowledge of QA methodologies, risk-based test planning, regression strategy, and the defect lifecycle.

• Strong experience integrating automated tests into CI/CD pipelines using GitLab CI, Jenkins, or GitHub Actions, with a focus on continuous quality and release readiness.

• Proficient with version control and collaborative development workflows using Git.

• Solid expertise in REST API testing and automation, with the ability to validate end-to-end integrations across distributed systems.

• Strong knowledge of databases (SQL and NoSQL), including validating data integrity, flows, and transformations across environments.

• Extensive experience working in Agile/Scrum environments, driving quality practices in sprint ceremonies, backlog refinement, and release planning.

• Excellent analytical, problem-solving, and communication skills, with the ability to influence design and architectural decisions for quality.

• High attention to detail with a proactive, quality-first mindset that prevents issues before release.

• Experience with Microsoft Power BI or similar data visualization platforms is a significant advantage.

What working at AIQ offers:Culture: Encouraging initiative, work in an environment that is fast-paced and varied, surrounded by talented peers from around the world, who are similarly attracted to applying their skills to solve transformational challenges.Career: Join a team in which your contribution is recognized and rewarded, while you are supported to operate at your peak performance.Rewards: An attractive renumeration package that includes healthcare, education support for dependents, leave benefits, and more.