Arche Solutions
Arche Solutions
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Senior QA Python

120 - 135 PLN/ godz.B2B
SeniorFull-time·B2B
#452120·Dodano 4 dni temu·2
Źródło: nofluffjobs.com
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Tech Stack / Keywords

Python

Wymagania

  • Experience with Python test automation
  • Knowledge of pytest framework
  • Experience automating backend, integration, API, and frontend tests
  • Experience with test automation integration with CI processes
  • Knowledge of performance and volume testing
  • Experience with property-based testing, e.g. using Hypothesis
  • Understanding of test data generation techniques
  • Experience with monitoring and analyzing test metrics
  • Familiarity with PDF testing, including PDF/X-3 validation and visual comparison
  • Skills in exploratory and manual test planning and documentation
  • Knowledge of cloud platforms such as AWS EKS and container orchestration
  • Experience with profiling and bottleneck analysis using tools like Grafana

Obowiązki

  • Create and maintain test concepts and QA strategy for the AURA system
  • Define test levels and division of responsibilities between development and QA
  • Define risk-based approach to test prioritization
  • Define environment strategy and test data
  • Define classification of defects, severity levels, blockers, acceptance and release criteria
  • Prepare documentation for onboarding new team members in testing
  • Prepare and implement test automation concepts
  • Automate backend, integration, and API tests in Python using pytest
  • Test data pipelines and batch processing
  • Integrate automated tests with CI
  • Prepare regression tests for PDFs, including visual comparison, preflight, and PDF/X-3 validation
  • Automate frontend tests using Playwright
  • Generate synthetic and rule-based test data
  • Test incomplete data, incorrect formats, duplicates, and edge cases
  • Build and maintain reference datasets based on real releases
  • Use property-based testing with tools like Hypothesis
  • Define and automatically collect quality metrics
  • Monitor quality trends and regressions
  • Analyze solver quality including fill rate, white space, ad-to-content ratio, rule violations, and runtime vs. search budget
  • Verify AI pipeline quality, including content length limits and regression after prompt or model changes
  • Conduct runtime, performance, and volume testing
  • Test large releases, parallel processing, and multiple simultaneous titles
  • Analyze bottlenecks, profiling, and metrics in Grafana
  • Test solution scaling on AWS EKS
  • Perform exploratory and release testing in areas not requiring automation
  • Plan and document manual tests
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