We are looking for an experienced Automation Quality Assurance Engineer with strong skills in test automation (C#)
We are looking for an experienced QA Engineer to become a part of teams that develop enterprise-level products with a large world-known client base.
Requirements and Skills:
8 years of commercial experience in Software Testing, Quality Assurance, and Test Automation (C#)
Functional and non-functional product testing for Enterprise level Web applications
Experience in building and maintaining test automation frameworks
Experience in Web Services and API testing (SOAP and REST API)
Experience in integration testing
Work experience with SQL
Understanding of web testing, applying specific approaches and tools
Excellent problem solving and analytical skills
Proactivity and being able to work in a collocated scrum team
Good knowledge of the software testing methodologies and techniques
Good understanding of web and middleware architecture
Experience in writing and maintaining test documentation (bug reports, test cases, checklists, how-tos)
Experience with bug tracking systems
Experience in DevOps process with CI/CD pipeline creation and deployment is a plus
Scrum Master experience is a plus
Performance testing experience is a plus
Job Responsibilities
Own the entire test cycle for product changes: specifications and requirements review, consultations with Product and Dev teams, initial exploratory testing, creation of test cases to automate, creation of integration and end-to-end auto-tests
Test automation of new and already released features
Test a variety of web applications and integrations
Requirements analysis, test cases/checklists preparation, and execution
Test documentation maintenance
Find, analyze, and report defects with detailed and accurate steps to reproduce along with supplemental artefacts
Assist developers in discovering and researching defects
Regular communication with product managers and developers to clarify requirements and details of implementation
Gathering of QA, Test, and Automation data and metrics
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