Summary
✨ AI‑Generated
A senior QA automation engineer is sought to design and maintain automated validation suites for complex scientific data. The role involves translating requirements and validation standards into automated checks, building Python-based test utilities, performing broad functional and regression testing, investigating failures, and maintaining auditable test evidence and traceability.
Highlights
Senior automation role with deep involvement in validation engineering, reusable test libraries, comprehensive testing, traceability, root-cause analysis, and data-driven quality assurance within the life sciences domain.
Description
Profile: Senior Automation QA
Sector: LifeSciences/Pharma
Core responsibilities include:
Design, build, maintain, and execute Robot Framework validation suites for laboratory instrument data converted to Allotrope Simple Model (ASM) JSON.Translate business requirements, field mappings, SOPs, and validation standards into automated schema, mapping, semantic, and formatting checks.Develop Python readers, custom Robot 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 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.
Required skills/experience:
5+ years of software quality engineering or test automation experience, including at least 2 years of data-centric validation.2+ years of hands-on Robot Framework experience, including reusable resources, custom Python keyword libraries, parameterized testing, and Robot output analysis.Strong Python development skills for parsing, transformation, JSON traversal, numerical comparison, and automated validation.Experience writing SQL for data reconciliation, quality analysis, regression trending, and defect investigationExperience 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; Allotrope ASM experience is preferred.Experience with smoke, functional, regression, and UAT testing, including defect lifecycle management and root cause analysis.Experience with Git, GitHub Actions or equivalent CI/CD tooling, containerized execution, dependency management, and automated report publishing.Experience with Jira, Xray, Agile delivery, test evidence management, and regulated or GxP laboratory environments.
Offer:
Location: Remote + 1 day onsite (onboarding) Warszawa/Wrocław/KatowiceEmployment: B2B contract with apreelRate: up to 120 PLN / h + VATDuration: long-term cooperation
