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Productiv Team

QA Automation Engineer

Posted 23 days ago
2-5 years experience
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AI Summary

The role involves contributing to quality processes across the SDLC and utilizing AI-assisted tools to design, maintain, and validate test assets at scale. You will collaborate with cross-functional teams to define quality standards and ensure test solutions are architected for scalability.

About the role

We are looking for a proactive and adaptable QA Engineer to support the Software Development Lifecycle (SDLC) for a fast-moving product track. This role is ideal for someone who is technically curious, AI-fluent and eager to collaborate closely with developers, product teams and QA leadership. We prioritize adaptability and the ability to extract value from AI-generated output over mastery of any specific tool or framework.

Key Responsibilities

  • Contribute to quality processes across planning, development, and release stages of the SDLC
  • Use AI-assisted development tools to design, generate, validate, and maintain test assets at scale
  • Review and critically evaluate AI-generated test output before it enters the repo, catching false positives, coverage gaps, and brittle assertions
  • Collaborate with developers, product teams, and QA leadership to define quality standards and communicate risk clearly.
  • Think beyond local scripts, understand how test solutions scale from 10 to 10,000 and architect accordingly
  • Adapt processes quickly in response to a changing product environment

Required Qualifications

  • Experience in software QA, testing or software development
  • Working knowledge of one or more programming languages, including JavaScript, Python, Java, C# or TypeScript
  • Hands-on experience with test automation frameworks (Cypress, Playwright or similar) covering API and web UI testing
  • Demonstrated ability to work effectively with AI coding assistants and extract reliable, production-ready output
  • Strong communication and collaboration skills
  • Proactive and curious approach - willing to learn and grow
  • Ability to think critically and adapt quickly in a changing environment

Nice to Have
 

  • Experience building or improving AI-assisted tooling (prompts, pipelines, generators)
  • CI/CD integration of automated test suites
  • Familiarity with Agile/Scrum environments
  • Quantifiable impact from past QA work (time saved, defect catch rate, coverage improvement)

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