Senior Test Engineer Automation (Python) - OP01952
Descrição da Vaga
🟢 Are you in Brazil, Argentina or Colombia? Join us as we actively recruit in these locations, offering a comfortable remote environment. Submit your CV in English, and we'll get back to you! We invite an experienced and proactive Senior Test Automation Engineer to join our team. You'll ensure the quality and reliability of data pipelines and AI/NLP workflows that support a robust logistics intelligence platform. You'll design and maintain scalable automation frameworks that accelerate development, provide rapid feedback, and enable the team to confidently deliver high\-quality AI capabilities. **🟩 What's in it for you:** * Lead QA standards and processes for a logistics platform enhanced with AI/NLP features * Gain hands\-on experience working with large datasets, including video and structured data * Build scalable automation frameworks using Python, Azure, and modern AI\-assisted tools **✅ Is that you?** * 5\+ years of QA automation experience in data\-intensive environments * Strong Python skills for building and scaling automation frameworks (pytest or similar) * Proven ability to design and own end\-to\-end automation strategies from scratch * Hands\-on experience with Azure services and Azure DevOps pipelines * Expert\-level SQL for data validation, profiling, and deep analysis * Solid understanding of data warehouse and ETL/ELT testing * Experience testing large datasets, data flows, and file/video processing * Strong background in API testing and CI/CD integration * Knowledge of containerized test environments (Docker) * Ability to create clear, well\-structured test documentation and metrics * Manual testing expertise * Excellent client\-facing communication and collaboration skills * Upper\-Intermediate English level **Desirable:** * AI/NLP testing experience * Basic experience writing and running tests within the dbt framework * Familiarity with Azure big\-data technologies (Databricks, Synapse Analytics) * Experience using AI tools like GitHub Copilot **🧩Key Responsibilities And Your Contribution** In this role, you'll lead QA automation for complex data and AI/NLP workflows, ensuring reliable and scalable solutions. * Own the end\-to\-end QA automation strategy across data pipelines, APIs, and integrations * Build and scale robust automation frameworks using Python and pytest * Integrate automated tests into Azure DevOps CI/CD pipelines * Validate data integrity, reconciliation, and ETL/ELT processes in Azure data warehouses * Test large datasets, including structured, unstructured, and video data * Embed shift\-left testing and promote quality through early collaboration with developers * Create clear, well\-structured test plans, cases, and documentation * Track test coverage, automation metrics, and overall QA effectiveness * Identify and troubleshoot complex issues across data\-heavy systems * Support testing of AI/NLP components and leverage AI\-assisted QA tools where applicable **🎾 What's working at Dev.Pro like?** Dev.Pro is a global company that's been building great software since 2011\. Our team values fairness, high standards, openness, and inclusivity for everyone — no matter your background 🌐 We are 99\.9% remote — you can work from anywhere in the world 🌴 Get 30 paid days off per year to use however you like — vacations, holidays, or personal time ✔️ 5 paid sick days, up to 60 days of medical leave, and up to 6 paid days off per year for major family events like weddings, funerals, or the birth of a child ⚡️ Partially covered health insurance after the probation, plus a wellness bonus for gym memberships, sports nutrition, and similar needs after 6 months 💵 We pay in U.S. dollars and cover all approved overtime 📓 Join English lessons and Dev.Pro University programs, and take part in fun online activities and team\-building events **Our next steps:** ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Internal interview — ✅ Offer **Interested? Find out more:** 📋How we work 💻 LinkedIn Page 📈 Our website 💻IG Page
Vaga originalmente publicada em: linkedin
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