Senior QA Manual (AI Product)
New
J
JobgetherAI Technology
USFull-TimeSenior
SalaryCompensation level or salary range shared with candidates during the recruitment process before employment begins.
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Job Details
- Required Skills
- Microsoft SQL ServerJiraManual testingTestRailConfluencePostman
Requirements
- Strong professional experience in manual QA testing across mobile, web, and backend environments.
- Hands-on experience creating and executing checklists, test cases, test scenarios, and structured QA documentation.
- Solid understanding of client-server architecture and how QA integrates into Agile development and release cycles.
- Practical experience with Jira, Confluence, TestRail or Allure TestOps, MS SQL Server, Fiddler, and Postman.
- Demonstrated use of AI tools as part of an everyday QA workflow.
- Strong analytical and problem-solving skills with an ability to identify issues efficiently and communicate them clearly.
- Structured, detail-oriented, and results-focused approach to testing.
- Product-oriented mindset, with an interest in understanding how features work and improving the overall product.
- Ability to work effectively in a fast-paced environment with frequent releases and changing priorities.
- Strong communication and collaboration skills when working with engineering and cross-functional teams.
Responsibilities
- Plan testing scope, timelines, scenarios, and coverage for product releases.
- Create, maintain, and execute detailed test cases, checklists, and test documentation.
- Test and stabilize patches within a rapid release cycle, supporting production deployments several times per week.
- Perform hands-on testing across mobile, web, and backend components.
- Identify defects quickly, investigate issues, and document them clearly so engineering teams can act without unnecessary follow-up.
- Work with client-server applications and assess how changes affect different parts of the product.
- Support QA activities throughout the Agile development and release lifecycle.
- Continuously improve QA processes by standardizing repetitive checks and eliminating unnecessary manual work.
- Evaluate and integrate AI tools that can meaningfully improve testing efficiency and productivity.
- Contribute a product-focused perspective by identifying opportunities to improve the overall user experience and product quality.
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