Sr. Automation QA
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Job Summary
Job role: Sr. Automation QA
Location: Plano TX
Job Type : Full time Hire
Interviews : In-Person interviews in Plano TX
Job Role : SDET with Strong API Automation Skills experience
Job Description (Required Skills):
- Hands-on experience in designing and building API automation frameworks (mandatory) using tools like Postman Rest Assured Pytest or similar.
- Strong Python scripting skills (mandatory) for test automation data validation and framework development.
- Working knowledge of AI/GenAI in Quality Engineering (mandatory) including test case generation defect analysis and productivity accelerators.
- Experience in using configuring and modifying AI agents for QE use cases such as autonomous test creation execution support analysis etc.
- Understanding of the defect lifecycle including defect logging triaging root cause analysis closure validation along with backend analysis and issue investigation.
- Familiarity with GitHub ecosystem including repositories Actions workflows and GitHub Copilot (GHCP) scripting for QE productivity and automation acceleration.
- Experience in backend testing for APIs microservices integrations and distributed systems.
- Good understanding of test framework design reusable libraries mocking stubs and service virtualization.
- Preferable domain knowledge in Telecom BSS/OSS such as order management billing provisioning or CRM systems.
- Hands-on experience with CI/CD pipelines version control and Agile delivery practices.
- Alternate programming skill could be Java
- Good stakeholder management skills
Thanks & Regards
Arijit Gain
US IT Recruiter
SiRA Consulting Inc.
: 6363 Richmond Avenue Ste 255 Houston TX 77057 Required Skills: Hands-on experience in designing and building API automation frameworks (mandatory) using tools like Postman Rest Assured Pytest or similar. Strong Python scripting skills (mandatory) for test automation data validation and framework development. Working knowledge of AI/GenAI in Quality Engineering (mandatory) including test case generation defect analysis and productivity accelerators. Experience in using configuring and modifying AI agents for QE use cases such as autonomous test creation execution support analysis etc. Understanding of the defect lifecycle including defect logging triaging root cause analysis closure validation along with backend analysis and issue investigation. Familiarity with GitHub ecosystem including repositories Actions workflows and GitHub Copilot (GHCP) scripting for QE productivity and automation acceleration.
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