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About usAt Softbinator Technologies, we re driven by innovation and excellence.
As an engineer here, you ll be working on high-impact projects that challenge the status quo and push the boundaries of technology.
This is a place where you ll tackle real-world problems, collaborate with exceptionally talented engineers, and build cutting-edge solutions that have a tangible impact.Joining Softbinator means not only shaping the future of technology but also working closely with top-tier, innovative companies worldwide.
You ll have the opportunity to contribute to groundbreaking projects with global reach.What we are looking forA Senior QA Automation Engineer with deep expertise in automating and validating data-intensive and AI-powered systems.
You ll play a critical role in ensuring the reliability, accuracy, and scalability of data pipelines, AI workflows, and model validation processes.
If you thrive at the intersection of data engineering, AI, and quality assurance, and enjoy building robust automation frameworks in Python, this is the role for you.With these skills, you are our perfect match5+ years of experience in QA automation or test engineering, especially within data engineering or AI-driven systemsStrong proficiency in Python, PyTest, or similar test frameworksExperience testing AI/ML applications, inference pipelines, and automated ETL validationHands-on with Databricks, Snowflake, and cloud-based data platformsFamiliar with Azure DevOps, CI/CD workflows, and automated testing pipelinesSolid understanding of API testing tools (Postman, RestAssured, etc.)Experience with data quality validation, schema enforcement, and data integrity testingKnowledge of SonarCloud or similar static code analysis toolsExcellent debugging and troubleshooting skills in AI and big data environmentsHigh attention to detail and a strong sense of ownership over product qualityHow you ll drive successDesign and implement automated testing frameworks for AI workflows and data pipelinesBuild and maintain test scripts for data validation, transformation checks, and AI model evaluationEnsure end-to-end regression coverage for evolving pipelines and workflowsValidate AI inference output, data enrichment accuracy, and vector database searchesIntegrate automated test suites into CI/CD pipelines using Azure DevOpsMonitor and enforce code quality standards using SonarCloudConduct performance, load, and security testing for high-scale pipelines and endpointsEnsure data compliance (e.g., GDPR, CCPA) and test data privacy practicesNice to haveExperience with OpenAI API and evaluation testingFamiliarity with ETL pipeline testing and database validationKnowledge of SFTP-based data exchange testingExposure to vector databases (e.g., FAISS, Pinecone)Awareness of data security and compliance regulations