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Metro mid-level QA role with known employer and generalist automation skills attracts many qualified applicants.
Automation and QA skills are broadly transferable across industries despite optional domain knowledge.
Explicit 5+ years plus mandatory Python Playwright, API and CI/CD skills enforce strict candidate filters.
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Own manual and automated testing activities for cloud-based financial analytics platform including UI, API, and data workflows.
Develop and maintain UI and end-to-end test automation frameworks using Python Playwright integrated into CI/CD pipelines.
Define and execute QA strategy including test stability improvements, KPI definition for coverage and quality, and support environment/test data setup.
Minimum 5+ years of QA Engineer experience combining manual and automation testing.
Proficient in Python Playwright for UI automation and testing REST APIs using tools like Postman or Playwright API.
Strong understanding of cloud environments (preferably AWS) and CI/CD pipeline integrations (GitHub Actions, GitLab, Jenkins, AWS CodeBuild).
Experience with client-server applications, complex data workflows, and Agile QA processes.
Experienced in high-performance, data-intensive applications preferably within Capital Markets or financial analytics domains.
Able to analyze and validate complex analytical workflows and large datasets with a strong technical testing skillset.
Skilled at building test automation frameworks and collaborating cross-functionally with product, development, and data/AI teams.