QA Engineer (Manual Testing) at CoverGo
Job Description
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The Role
As a QA Engineer at CoverGo, you will be responsible for ensuring the quality of our insurance platform through manual testing. Your role involves:
- Performing manual testing on new technologies
- Identifying and resolving simple quality process issues with little to no supervision and guidance
- Writing test scenarios and executing them during the testing process
- Identifying bugs and reporting them according to a bug template with sufficient detail for developers to investigate further
- Performing API testing using tools like Postman or Swagger to validate request/response behavior
- Reporting status to cross-functional teams
- Executing defined tasks according to guidelines and contributing to solving problems with defined solutions
- Providing proactive support to the team
- Mastering your craft and leveraging it for greater impact
Requirements
- At least 4 years of experience in using manual testing tools and procedures in an agile environment
- Hands-on experience in manual API testing (e.g., using Postman, Swagger, or similar tools), including validating endpoints, status codes, and response payloads
- Deep understanding of QA theory
- Good level of understanding of the software development life cycle and lean/agile QA methodologies
- Enjoy working in a group and collaborating with cross-functional teams to get things done
- Good communication in English is a must
- Continuous learning of innovative approaches to testing and best practices around it
- Ability to share new ideas and adapt to changing circumstances
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CoverGo
View Company ProfileCoverGo (operating at covergo.com) is a leading global AI, no-code insurance platform for health, life, and P&C, enabling insurers to transform digitally. Founded in 2016 by Tomas Holub and headquartered in Sunnyvale, CA, CoverGo automates workflows across distribution, policy servicing, and claims. Under the hood, the platform leverages AI technology to streamline insurance processes. This allows insurers to improve efficiency and customer experience. Backed by $17.9M in funding.
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