Senior Test Automation Engineer

Quick Facts

• Role: Senior Test Automation Engineer (Senior Automation QA)

• Focus: Automated validation of laboratory instrument data converted to Allotrope Simple Model (ASM)

Description

You will design and maintain automated validation frameworks for data converted into the Allotrope Simple Model (ASM) format. You will develop reusable testing components in Python and Robot Framework, translating business requirements and validation standards into schema, mapping, semantic, and formatting checks. You will support test execution, defect investigation, reporting, and continuous improvement across converter releases and instrument datasets.

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 checks

• Develop Python readers, custom Robot Framework keywords, and reusable validation libraries for CSV, XML, XLS/XLSX, JSON, and instrument-specific formats

• Execute smoke, functional, regression, UAT, and cross-version testing across converter releases and instrument datasets

• Perform root cause analysis to distinguish converter defects, source-data issues, schema changes, and test automation defects

• Maintain comprehensive test traceability with stable finding/defect keys, execution provenance, and auditable evidence

• Analyze validation results using SQL, DuckDB, and Parquet to track new/recurring/resolved/reopened/regressed findings

• Prepare and publish Test Summary, Defect Summary, and trend reports (HTML/JSON) for technical and business stakeholders

• Maintain CI/CD execution and reporting using GitHub Actions, containerized environments, Artifactory, Jira, and Xray

• Support distributed teams with test reviews, troubleshooting, documentation, defect triage, and technical meetings

Requirements

• 5+ years of experience in software quality engineering or test automation, including at least 2 years in data-centric validation

• At least 2 years hands-on experience with Robot Framework (reusable resources, custom Python keyword libraries, parameterized testing, Robot output analysis)

• Strong Python development skills (parsing, data transformation, JSON traversal, numerical comparison, 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 formats

• 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; defect lifecycle management; root cause analysis

• Experience with Git and CI/CD (GitHub Actions or equivalent), containerized execution, dependency management, and automated report publishing

• Experience with Jira and Xray, preferably in an Agile environment

• Experience with test evidence management and regulated or GxP laboratory environments is a strong advantage

• Excellent written and verbal communication skills

Benefits

Work on a data validation project at the intersection of software quality, data, automation, and laboratory technology.