QA Engineer
New
S
Shimi Sp. z o.o.Publishing automation
Praca w 100% zdalna; Country code: PLContractSenior
Salary160 - 175 PLN per hour
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Job Details
- Languages
- Angielski C1 (to język projektu)
- Required Skills
- PostgreSQLPythonAWS EKSAPI testingGrafanaPlaywright
Requirements
- Have senior-level experience independently leading QA in at least one project.
- Have independently created and implemented a test concept or test strategy.
- Have strong test automation skills in Python and pytest.
- Have experience configuring and maintaining tests in CI pipelines.
- Have experience testing backends and data systems, including APIs, data pipelines, batch processing, and integrations.
- Have experience generating synthetic or rule-based test data.
- Have experience with runtime, performance, and volume testing of backend or batch systems.
- Have experience testing parallel processing.
- Be able to design performance scenarios, define metrics, and analyze bottlenecks.
- Have experience automating frontend tests using Playwright or a comparable tool.
- Have experience with manual and exploratory testing.
- Have experience with defect classification, severity levels, and release criteria.
- Have English proficiency at C1 level.
Responsibilities
- Create and maintain the test concept, including test levels, risk-based priorities, test environments, and test data approaches.
- Define defect severity, blocker criteria, and acceptance and release criteria for test releases and production go-live.
- Design and implement test automation, including integration, API, pipeline, regression, and frontend tests.
- Integrate Python and pytest tests into CI pipelines.
- Automate PDF regression checks, including visual comparison, preflight, and PDF/X-3 validation.
- Generate varied synthetic test data, including incomplete, malformed, duplicate, and edge-case inputs.
- Build and maintain reference datasets based on real editions and test combinations of edition sizes and advertising structures.
- Define and collect quality metrics, and monitor trends and regressions in solver and AI pipeline outputs.
- Measure runtime, throughput, and output quality; test large editions, reruns, parallel production, and synthetic-data volumes.
- Profile performance, analyze Grafana metrics, test scaling in AWS EKS, and conduct exploratory and release testing.
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