QA Automation Tester with Data Governance

Job Summary
We need a Senior QA Automation Engineer to test our artificial intelligence and data systems. You will build test frameworks using Python to check AI models and data pipelines. You will also make sure our data handling follows strict data governance rules.
Key Responsibilities

• Write and maintain automation test scripts using Python.
  Test Generative AI (GenAI) applications, Large Language Models (LLM), and RAG pipelines for accuracy and safety.
• Validate data quality, lineage, and integrity across complex data pipelines.
• Ensure all testing processes comply with Data Governance, privacy, and security standards.
• Create automated test frameworks for API and database validation.
• Find, log, and track bugs using tracking tools like Jira.
  Work with data engineers and product teams to define acceptance criteria for AI features.

Requirements

• 5 to 8 years of experience in software quality assurance and test automation.
• Strong programming skills in Python (Pytest, Unittest, or similar frameworks).
• Hands-on experience testing GenAI, LLMs, or machine learning models.
• Knowledge of Data Governance concepts, data privacy laws (GDPR/CCPA), and data quality metrics.
• Experience with SQL and testing databases or data lakes.
• Experience testing REST APIs and cloud platforms (AWS, Azure, or Google Cloud Platform).
• Good communication and problem-solving skills.