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BayOne Solutions

Gen AI Quality Assurance Automation Engineer

6-8 Years
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Job Description

Job Description:

We are seeking a highly skilled AI Quality Automation Engineer with strong expertise in Python programming to join our offshore engineering team. The ideal candidate will have a deep understanding of automation frameworks, AI-driven testing methodologies, and end-to-end quality engineering processes. You will be responsible for designing, developing, and maintaining automated testing solutions to ensure high-quality product releases.

Job Title: Quality Automation Engineer

Experience Level: Minimum 6+ Years

Key Responsibilities:

  • Design, develop, and implement automated test scripts and frameworks using Python.
  • Collaborate with development, DevOps, and product teams to identify and address quality challenges early in the SDLC.
  • Integrate AI and ML-based testing tools to enhance test efficiency and coverage.
  • Develop robust test strategies for functional, regression, integration, and performance testing.
  • Perform API testing, UI automation, and backend data validation.
  • Analyze test results, debug failures, and provide clear defect documentation.
  • Continuously improve automation frameworks and testing pipelines for scalability and reliability.
  • Participate in Agile/Scrum ceremonies and contribute to continuous improvement initiatives.

Required Skills & Qualifications:

  • 6+ years of experience in Quality Engineering and Test Automation.
  • Strong Python programming skills (mandatory).
  • Proven experience with automation frameworks such as PyTest, Selenium, or Robot Framework.
  • Hands-on experience in AI/ML-driven testing tools or frameworks.
  • Experience with CI/CD tools (e.g., Jenkins, GitLab CI, or Azure DevOps).
  • Familiarity with API testing (Postman, REST Assured, etc.).
  • Solid understanding of software testing methodologies and QA best practices.
  • Excellent analytical, debugging, and problem-solving skills.
  • Strong communication and collaboration skills to work effectively in a distributed team environment.

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About Company

Job ID: 131105501