Senior QA Analyst, Data Systems and Interfaces

Role Overview

• Validate changes to lead bidding models and revenue logic
• Test and verify customer-facing site features across environments
• Confirm data accuracy across transactional systems and ELT/ETL pipelines
• Execute comprehensive regression and edge-case testing
• Validate releases in both blue and green environments prior to cutover
• Review logs, metrics, and performance signals post-deployment
• Define and improve QA standards and release criteria
• Provide formal deployment sign-off documentation

Requirements

• 5+ years of QA experience in technical or data-driven environments
• Experience testing revenue-impacting systems or pricing logic
• Strong understanding of regression, scenario-based, and edge-case testing
• Experience validating backend systems and data pipelines
• Solid SQL skills for data validation
• Experience working with staged or blue/green deployment models
• Strong documentation and communication skills
• High attention to detail and ownership mindset
• Nice to Have: Experience testing bidding, marketplace, or pricing algorithms
• Automation testing experience (Cypress, Playwright, etc.)
• Familiarity with CI/CD workflows
• Experience in performance marketing or lead-generation platforms
• Exposure to Kafka or streaming systems

Tech Stack

• Cypress
• ETL
• Kafka
• SQL