Job Description

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. 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. 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! 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. Bachelor\u2019s or Master\u2019s degree in Computer Science, Software Engineering, or a related technical field. Advanced certifications in software testing or automation are an advantage. 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 m

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.

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.

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.

Senior QA Automation Engineer (AIQ)

Job Description

Requirements

Responsibilities

Skills Required

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