Senior Automation QA

Link Group is seeking a Senior Test Automation Engineer to join a data-centric project focused on validating laboratory instrument data converted into the Allotrope Simple Model (ASM) format. The role involves designing and maintaining automated validation frameworks and ensuring data quality across different converter releases and instrument datasets in a regulated laboratory environment.

• 5+ years experience in software quality engineering or test automation, including at least 2 years in data-centric validation.
• Minimum 2 years hands-on experience with Robot Framework, including reusable resources, custom Python keyword libraries, parameterized testing, and output analysis.
• Strong Python development skills for 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.
• 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, and UAT testing, plus defect lifecycle management and root cause analysis.
• Experience with Git, GitHub Actions or equivalent CI/CD tools, containerized execution, dependency management, and automated report publishing.
• Experience with Jira and Xray, preferably in an Agile delivery environment.
• Experience with test evidence management and regulated or GxP laboratory environments.
• Excellent written and verbal communication skills to explain technical validation findings to technical and non-technical stakeholders.

Nice to have:

• Experience with CD, Agile, and GxP-related processes.

• 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 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.