About us

At 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 for

A 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 match

• 5+ years of experience in QA automation or test engineering, especially within data engineering or AI-driven systems
• Strong proficiency in Python, PyTest, or similar test frameworks
• Experience testing AI/ML applications, inference pipelines, and automated ETL validation
• Hands-on with Databricks, Snowflake, and cloud-based data platforms
• Familiar with Azure DevOps, CI/CD workflows, and automated testing pipelines
• Solid understanding of API testing tools (Postman, RestAssured, etc.)
• Experience with data quality validation, schema enforcement, and data integrity testing
• Knowledge of SonarCloud or similar static code analysis tools
• Excellent debugging and troubleshooting skills in AI and big data environments
• High attention to detail and a strong sense of ownership over product quality

How you’ll drive success

• Design and implement automated testing frameworks for AI workflows and data pipelines
• Build and maintain test scripts for data validation, transformation checks, and AI model evaluation
• Ensure end-to-end regression coverage for evolving pipelines and workflows
• Validate AI inference output, data enrichment accuracy, and vector database searches
• Integrate automated test suites into CI/CD pipelines using Azure DevOps
• Monitor and enforce code quality standards using SonarCloud
• Conduct performance, load, and security testing for high-scale pipelines and endpoints
• Ensure data compliance (e.g., GDPR, CCPA) and test data privacy practices

Nice to have

• Experience with OpenAI API and evaluation testing
• Familiarity with ETL pipeline testing and database validation
• Knowledge of SFTP-based data exchange testing
• Exposure to vector databases (e.g., FAISS, Pinecone)
• Awareness of data security and compliance regulations