Senior Automation QA
New
L
Link GroupLaboratory data validation
Workplace type: remote; Country code: PLContractSenior
Salary80 - 100 PLN per hour
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Job Details
- Experience
- 5+ years of experience in software quality engineering or test automation, including at least 2 years of experience in data-centric validation; at least 2 years of hands-on experience with Robot Framework
- Required Skills
- PythonSQLQAJiraJSONGitHub Actions
Requirements
- Have 5+ years of experience in software quality engineering or test automation, including at least 2 years in data-centric validation.
- Have at least 2 years of hands-on Robot Framework experience, including reusable resources, custom Python keyword libraries, parameterized testing, and Robot output analysis.
- Demonstrate strong Python development skills in parsing, data transformation, JSON traversal, numerical comparison, and automated validation.
- Have experience writing SQL for data reconciliation, quality analysis, regression trending, and defect investigation.
- Have hands-on experience validating source-to-target mappings across JSON, CSV, XML, XLS/XLSX, and structured or semi-structured text formats.
- Know JSON Schema, semantic data models, controlled vocabularies, and schema-driven validation.
- Understand smoke, functional, regression, and UAT testing, defect lifecycle management, and root cause analysis.
- Have experience with Git, GitHub Actions or equivalent CI/CD tools, containerized execution, dependency management, and automated report publishing.
- Have experience with Jira and Xray, preferably in an Agile delivery environment.
- Bring excellent written and verbal communication skills to explain technical validation findings to technical and non-technical stakeholders.
- Experience with Allotrope Simple Model (ASM) is highly desirable.
- Experience with test evidence management and regulated or GxP laboratory environments is an advantage.
Responsibilities
- 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 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 technical and business stakeholders.
- Maintain CI/CD execution and reporting through GitHub Actions, containerized test environments, Artifactory, Jira, and Xray.
- Support distributed project teams through test reviews, troubleshooting, documentation, defect triage, and technical meetings.
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