Test Automation Engineer

Project overview

For our client, we are looking for an experienced Test automation engineer with knowledge of Robot Framework and Python for automated validation of laboratory data converted into the standardized Allotrope Simple Model (ASM) JSON format.

Project requirements

smoke, functional, regression, and UAT testing, defect lifecycle management, and root cause analysis

• automated validation of data from laboratory instruments converted into ASM JSON
• support for a team focused on laboratory data conversion and verification of their compliance with requirements, data mappings, and validation standards
• design, development, maintenance, and execution of validation sets in Robot Framework, including custom libraries and keywords in Python
• conversion of business requirements, SOPs, and field mappings into automated checks of schema, mapping, semantics, and formatting
• creation of readers and reusable validation libraries for CSV, XML, XLS/XLSX, JSON, and specific instrument formats
• execution of smoke, functional, regression, UAT, and cross-version tests on individual converter versions and datasets
• analysis of root causes of errors and resolution of issues related to converters, source data, schema changes, and test automation itself
• ensuring traceability of tests, findings, defects, and auditable evidence of validation progress
• analysis of results using SQL, DuckDB, and Parquet, tracking new, repeated, resolved, and regression findings
• preparation of test and defect summaries, HTML/JSON reports, and trend overviews
• management of automated execution and reporting via CI/CD, containerized environments, and tools like GitHub Actions, Artifactory, Jira, and Xray
• collaboration with distributed teams on test reviews, problem-solving, documentation, and defect prioritization
• advanced experience in:
• software quality engineering or test automation for at least 5 years, with a minimum of 2 years in data validation
• Robot Framework for at least 2 years, including reusable resources, custom libraries in Python, parameterized tests, and output analysis
• development in Python for parsing, transformation, traversing JSON structures, numerical comparisons, and automated validation
• experience with:
• SQL for data comparison, quality analysis, regression tracking, and defect investigation
• validation of source-to-target mapping across JSON, CSV, XML, XLS/XLSX and structured or semi-structured text formats
• Git, GitHub Actions or similar CI/CD tools, containerized execution, dependency management, and automated report publishing
• Jira, Xray, Agile delivery, and test evidence management
• regulated or GxP laboratory environments
• knowledge of:
• JSON Schema, semantic data models, controlled vocabularies, and schema-driven validation
• English at a professional level for written and oral communication
• clear presentation of technical validation findings to both technical and non-technical audiences
• advantageous:
• experience with Allotrope Simple Model (ASM)

Project details

• Start: 16.11.2026 or by agreement
• Duration: 12 months with the possibility of extension
• Location: Prague, CZ, CZ
• Rate: 750-875 EUR/h
• Languages: English