QA Engineer- SAP Hybris PROFESSIONALS

Softbiz Solutions

4 - 6 years

5 - 9 Lacs

hyderabad

Posted:2 hours ago| Platform:

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Skills Required

automation sap manual testing configuration management javascript agile selenium test cases sdlc python

Work Mode

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Job Type

Full Time

Job Description

Perform functional, regression, integration, and user acceptance testing (UAT) on Hybris (SAP Commerce) applications, AI-driven solutions, and web platforms.
Create detailed, comprehensive, and well-structured test plans and test cases aligned with eCommerce and AI product requirements.
Identify, document, and track bugs through the defect management lifecycle, ensuring timely resolution.
Collaborate with developers, data scientists, and product teams to understand requirements and define robust test strategies.

Automation Testing:

Design, develop, and execute automated test scripts using tools like Selenium, Cypress, or equivalent frameworks for Hybris modules and AI applications.
Identify opportunities to automate repetitive/manual test cases, including AI model validation scenarios.
Maintain and enhance automation frameworks with scalability for both Hybris and AI-driven solutions.

Collaboration:

Partner with cross-functional teams (Hybris developers, AI engineers, product managers, designers) to ensure quality throughout the SDLC.
Participate in agile ceremonies (sprint planning, stand-ups, retrospectives) and provide insights on test strategy, risks, and progress.
Ensure proper version control and configuration management of all test artifacts and environments.

Continuous Improvement:

Stay updated with emerging QA trends, Hybris upgrades, and AI platforms.
Contribute to the evolution of testing frameworks and processes, especially in areas of AI validation and eCommerce performance.

Qualifications:

Bachelor s degree in Computer Science, Engineering, or a related field.
4-6 years of experience in software quality assurance with a strong focus on
Hybris (SAP Commerce Cloud)
applications and automation.
Hands-on experience testing
AI-based applications
, data-driven features, or recommendation systems.
Strong understanding of SDLC, STLC, Agile methodologies, and DevOps practices.
Experience with automation tools (Selenium, Cypress, or equivalent).
Proficiency in scripting languages (Java, JavaScript, or Python) for automation and data validation.
Experience with version control (Git) and CI/CD pipelines (Jenkins, GitLab CI).
Strong analytical and problem-solving skills with the ability to test complex AI-driven features.
Excellent verbal and written communication skills.

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