Senior Automation QA

80 - 100 PLN/ godz./ godz.

SeniorZdalnieFull-time

#452711·Dodano 8 dni temu·3

Źródło: LinkGroup

Tech Stack / Keywords

Minimum 5 years of experience in software quality engineering or test automation, including at least 2 years in data-centric validation.
At least 2 years of hands-on experience with Robot Framework, including reusable resources, custom Python keyword libraries, parameterized testing, and output analysis.
Strong Python development skills in parsing, data transformation, JSON traversal, numerical comparison, and automated validation.
Experience writing SQL for data reconciliation, quality analysis, regression trending, and defect investigation.
Hands-on experience validating source-to-target mappings across JSON, CSV, XML, XLS/XLSX, and structured or semi-structured text formats.
Knowledge of JSON Schema, semantic data models, controlled vocabularies, and schema-driven validation.
Experience with Allotrope Simple Model (ASM) is highly desirable.
Solid understanding of smoke, functional, regression, UAT testing, defect lifecycle management, and root cause analysis.
Familiarity with Git, GitHub Actions or equivalent CI/CD tools, containerized execution, dependency management, and automated report publishing.
Experience with Jira and Xray, preferably in Agile environments.
Knowledge of test evidence management and regulated or GxP laboratory environments is a strong advantage.
Excellent written and verbal communication skills for explaining technical findings to diverse stakeholders.

Design, build, maintain, and execute Robot Framework validation suites for laboratory instrument data converted to ASM JSON.
Translate business requirements, field mappings, SOPs, and validation standards into automated schema, mapping, semantic, and formatting checks.
Develop Python readers, custom Robot Framework keywords, and reusable validation libraries for CSV, XML, XLS/XLSX, JSON, and instrument-specific formats.
Perform smoke, functional, regression, UAT, and cross-version testing across converter releases and instrument datasets.
Conduct root cause analysis to distinguish converter defects, source-data issues, schema changes, and test automation defects.
Maintain comprehensive test traceability through mapping identifiers, stable finding and defect keys, execution provenance, and auditable test evidence.
Analyze validation results using SQL, DuckDB, and Parquet to identify new, recurring, resolved, reopened, and regressed findings.
Prepare and publish Test Summary, Defect Summary, HTML/JSON, and trend reports for stakeholders.
Maintain CI/CD execution and reporting through GitHub Actions, containerized test environments, Artifactory, Jira, and Xray.
Support distributed project teams via test reviews, troubleshooting, documentation, defect triage, and technical meetings.

Remote work
Use of containerized test environments
Continuous Integration and Continuous Delivery (CI/CD) with GitHub Actions
Access to Artifactory
Usage of Jira and Xray for issue tracking and test management

Link Group

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