Ernst & Young

Global professional services: consulting, assurance, tax

Automation QA Engineer – Senior Consultant - AI Systems, AI Hub

Test Automation EngineeringUpdated on Nov 14

Full-timeAmman, JordanNo salary listedIn-person

About the Job

Requirements

Four to eight years of experience in automation quality assurance or software development engineering in test roles.
Strong hands-on experience testing web applications, ideally with Next.js or React-based frontends.
Proficiency in Python for writing test automation scripts and frameworks.
Solid experience with cross-browser testing tools and strategies.
Experience integrating automated tests into continuous integration and continuous delivery pipelines, using Jenkins, GitHub Actions, or similar tools.
Strong understanding of quality assurance methodologies, including functional, regression, integration, and end-to-end testing.
Familiarity with version control systems such as Git.
Strong analytical and debugging skills, with attention to detail.
Good communication skills and ability to work closely with cross-functional teams.

Responsibilities

Design, build, and maintain automated test frameworks and suites for web applications with Next.js frontends and Python backends or services.
Develop and execute cross-browser automated test scripts to ensure consistent functionality across Chrome, Firefox, Safari, and Edge.
Integrate automated tests into continuous integration and continuous delivery pipelines, using Jenkins, GitHub Actions, or similar tools, to enable continuous testing and fast feedback loops.
Collaborate with developers, product managers, and other quality assurance engineers to define test strategies and acceptance criteria.
Identify, document, and track bugs through to resolution, working closely with engineering teams.
Perform functional, regression, integration, and end-to-end testing.
Continuously improve test coverage, automation efficiency, and overall quality assurance processes.
Contribute to test planning for artificial intelligence-driven features and help define quality benchmarks for artificial intelligence model outputs where applicable.
Monitor and maintain test environments and test data.

Desired Qualifications

Experience working on artificial intelligence or machine-learning-powered projects or products, such as testing model outputs, chatbots, or large language model-based features.
Familiarity with application programming interface testing tools such as Postman or REST Assured.
Experience with performance or load testing.
Exposure to cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform.

About the Role

EY's AI Hub is looking for an experienced Automation QA Engineer to ensure the quality, reliability, and performance of our applications, including AI-powered products built on modern web stacks. You'll design and maintain automated test suites for applications built with Next.js and Python, with a strong focus on cross-browser testing and CI/CD integration.

What You'll Do

Design, build, and maintain automated test frameworks and suites for web applications (Next.js frontend, Python backend/services)
Develop and execute cross-browser automated test scripts to ensure consistent functionality across Chrome, Firefox, Safari, and Edge
Integrate automated tests into CI/CD pipelines (Jenkins, GitHub Actions, or similar) to enable continuous testing and fast feedback loops
Collaborate with developers, product managers, and other QA engineers to define test strategies and acceptance criteria
Identify, document, and track bugs through to resolution, working closely with engineering teams Perform functional, regression, integration, and end-to-end testing
Continuously improve test coverage, automation efficiency, and overall QA processes
Contribute to test planning for AI-driven features and help define quality benchmarks for AI
model outputs where applicable
Monitor and maintain test environments and test data

What We're Looking For

4–8 years of experience in automation QA / SDET roles
Strong hands-on experience testing web applications, ideally with Next.js/React-based frontends Proficiency in Python for writing test automation scripts and frameworks
Solid experience with cross-browser testing tools and strategies
Experience integrating automated tests into CI/CD pipelines (Jenkins, GitHub Actions, or similar) Strong understanding of QA methodologies: functional, regression, integration, and end-to-end testing
Familiarity with version control systems (Git)
Strong analytical and debugging skills, with attention to detail
Good communication skills and ability to work closely with cross-functional teams

Nice to Have

Experience working on AI/ML-powered projects or products (e.g., testing AI model outputs, chatbots, LLM-based features)
Familiarity with API testing tools (Postman, REST Assured, etc.)
Experience with performance or load testing
Exposure to cloud platforms (AWS, Azure, or GCP)

Why Join Us

Be part of EY's AI Hub, working on cutting-edge AI-driven projects alongside a collaborative, innovation-focused team, with the opportunity to shape quality practices for next-generation applications.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size: 5,001-10,000
Company stage: Not listed
Total funding: Not listed
Headquarters: Boston, MA
Founded: 1991

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