Software QA Engineer (Applitools Eyes)

3 years

0 Lacs

Posted:5 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Contractual

Job Description

Role: Software Quality Engineer – AI-Driven Test Automation

Location: Offshore Remote- India

Duration: One year contract with potential to extend


Overview:

Quality Engineer with a passion for AI


Key Responsibilities:

• Execute and maintain automated test suites using both the existing Selenium-based framework and the emerging AI-driven test platform, applying intelligent strategies to improve test coverage and efficiency.

• Write and maintain test cases using Gherkin syntax in C# and JavaScript, leveraging tools like GitHub Copilot to accelerate test development and improve code quality.

• Perform AI-assisted exploratory testing to uncover edge cases, usability issues, and regressions—using machine learning insights to guide test focus and prioritize risk areas.

• Use Applitools Eyes for visual validation across responsive web and in-store digital experiences, integrating visual AI into the quality pipeline.

• Collaborate closely with developers, product owners, and designers to translate business requirements into intelligent, maintainable test scenarios that reflect real-world user behavior.

• Validate omni-channel workflows such as BOPIS, BORIS, Endless Aisle, and Membership across both eCommerce and in-store systems, using AI to simulate complex user journeys and edge cases.

• Participate in agile ceremonies and contribute to continuous improvement within a Scaled Agile Framework (SAFe) environment, advocating for the use of AI in test planning, execution, and reporting.

• Coordinate with Quality Engineers across ~9 other scrum teams to ensure consistent test coverage and quality standards across shared eCommerce and retail platforms, promoting AI-driven testing practices across teams.


Qualifications:

• 3+ years of experience in software quality engineering or test automation, preferably in agile product teams.

Proficiency in C#

Selenium, Gherkin, and BDD frameworks (e.g., SpecFlow, Cucumber).

• Familiarity with AI-assisted testing tools and techniques, including exploratory testing guided by machine learning insights.

GitHub Copilot

Applitools Eyes.

• Strong understanding of functional, integration, and end-to-end testing in web and omni-channel retail environments.

• Ability to collaborate across multiple scrum teams and domains within a Scaled Agile Framework (SAFe).

• Passion for applying AI to software testing—across test design, automation, diagnostics, and exploratory testing.

• Excellent communication skills and a proactive, quality-first mindset.

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