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Posted 9 days ago
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Job description
Riskonnect is looking to hire QA resource that will focus on Test Automation using Playwright and manual testing of Riskonnect’s Business Continuity & Resilience product (Resilience).
These resources will spend most of their time writing test automation, and the remainder doing manual testing (roughly a 60%/40% split). This percentage is subject to change based on the product area, functionality, and delivery timeline of the feature they are working on.
Resources will need to work on a Sprint team and test functionality manually within a sprint and automate it.
These resources should have a “testing mindset” and be able to identify test cases/scenarios and decide what should be tested manually vs tested via test automation. They will be responsible for quality of the product area they are testing and will be writing the test automation as well.
These resources will use Playwright and leverage existing test framework methods.
Experience with SAAS web applications.
Experience using AI to expedite test development.
Knowledge of Playwright MCP is a plus.
Any experience with mobile app testing (Android & iOS), mobile automation frameworks, JS testing frameworks is a plus.
Must be familiar with CI/CD pipelines and troubleshooting the test failures outside of development environment.
Must be familiar with different levels of testing such as API, Unit, Integration, and GUI testing, and choose the appropriate approach for automation. They are not expected to contribute to API/Unit/Integration testing automation but should be able to categorize the testing use cases into the right layer of automation.
Must be familiar with software development using an Agile process (Scrum, KanBan)
Must be able to effectively communicate with the dev team during various agile process ceremonies (daily standup, story refinement/backlog grooming, sprint planning and sprint retrospectives, etc)
These resources are expected to be an active participate in agile story refinement/grooming meetings, and able to identify initial manual test cases based on story refinement.
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