Automated Validation Tester
Primary stack
PythonSQLJSONGitJiraAgile
Nice to have's
DuckDBGitHub Actions
Job description
About the Position
Automated Validation Tester
We are seeking a skilled Automated Validation Tester to join our team and support the PLA:ADE sub-team within the DSCS Digital business case. This role is remote and based in Europe.
Responsibilities
- 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.
Requirements
- 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 investigation.
- 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; 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.
- Excellent written and verbal communication skills, including the ability to explain technical validation findings to technical and non-technical audiences.
Education: B.A. or B.S. degree, preferably in IT; or relevant skills and experience.
Language: English, professional proficiency
We Offer
- Remote work options
- Opportunity to work with cutting-edge technology
- Professional growth and development
About the Company
The Workly s.r.o.
4D CENTER, Kodaňská 1441/46,
101 00, Praha 10.
Contact:
[email protected]
- 420 775 371 991
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