QA Automation (LeapWork)

About Us ETech is a leading Information Technology solutions provider based in Hitec City, Hyderabad, India. We are a subsidiary of Everest Technologies Inc. based in Columbus, Ohio USA. We deliver top quality systems and software design, architecture, development, testing and implementation services to clients in a variety of industrial, commercial, and governmental environments. By focusing on achieving client successes, we have achieved success ourselves. Our reputation for providing creative and technically superior consulting services is built on our innovative use of leading technologies tailored to meet the individual needs of our clients. Job Description This is a remote position. We are looking for a QA Automation Developer with strong Leapwork experience to support a leading retail organization in expanding and maintaining their automation framework. The team has already automated regression testing for their Shopify-based eCommerce platform and is actively expanding automation coverage across enterprise systems including Warehouse Management, Transportation Management, Order Management, and SAP environments. Key Responsibilities Design, develop, and maintain automated test scripts using Leapwork Enhance and manage regression automation for a Shopify eCommerce platform Execute automated test suites and analyze results Collaborate with QA, Development, and Business teams to identify automation opportunities Ensure scalable and maintainable automation architecture Support CI/CD integration where applicable Troubleshoot and optimize existing automation flows Required Skills & Experience 3+ years of QA Automation experience Hands-on experience with Leapwork automation tool (Mandatory) Experience automating: eCommerce platforms (Shopify preferred) Retail / Supply Chain enterprise applications Strong understanding of: Regression testing End-to-end test automation Test design & automation strategy Experience working in Agile environments Ability to work independently and manage automation frameworks