QA Automation Engineer
location_onWarszawapaymentszł16 800 – zł20 200/moschedule6 godzin temu
homeStyl pracy:Zdalny
trending_upPoziom doświadczenia:Średni poziom
badgeZatrudnienie:Pełny etat
historyMinimalne doświadczenie:5+ lata
Opis stanowiska
Czym będziesz się zajmować?
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.
Kogo poszukujemy?
- 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.
Czego wymagamy?
3 lata doświadczenia na podobnym stanowisku
Znajomości:
- Python
- Robot Framework
- Polski
- Angielski
Jakie warunki i benefity otrzymasz?
- 16.8k–20.2k PLN netto/m (B2B)
- B2B - Elastyczne godziny pracy (100%)
- Praca zdalna: W całości
Kim jesteśmy?
Firma apreel powstała w kwietniu 2010 roku. W miarę rozwoju firmy i równolegle ze wzrostem poziomu zaufania klientów, jej działalność poszerzyła się o usługi Outsourcingu Specjalistów IT. Dziś to właśnie ten obszar stanowi główny filar działalności apreel.
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