Gen AI QA - Automation Testing (Senior Engineer / Engineer)
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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level QA automation role, metro locations, popular title, and moderate brand drive high competition.
Data-testing and automation skills transfer broadly, though GenAI and ETL specialization increases specificity.
Mandatory 5+ years, required data-testing plus SQL/Python/Pytest and AWS skills imply high shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain Quality Assurance frameworks focused on Gen AI platforms and data products lifecycle.
Collaborate with product and development teams to design test cases and automation scripts for data validation, migration, and ETL processes.
Support deployment and monitoring of quality standards including performance testing and defect management.
Minimum Requirements
5+ years experience in Data Testing including data migration, ETL, and data warehouse testing.
Strong proficiency in SQL for testing and analysis; hands-on experience with Python and Pytest for automation.
Understanding of AWS ecosystem, including data services like S3 and Glue.
Bachelor's or Master's degree in Computer Science or related technical field.
Ideal Candidate Profile
Experienced in automating data validation processes within complex data environments, including historic and incremental data loads.
Familiarity or working experience with Generative AI technologies such as LLM and RAG preferred.
Proven ability to coordinate across engineering, support, and business teams to define and execute comprehensive test strategies.