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QA Engineer

Engineering | Los Angeles, CA | Full Time

Job Description

Machine Learning + Cloud Analytics for Enterprise Marketers

Our team is changing the way marketers understand their cross-channel portfolio by translating the most sophisticated data science on the market into clear, actionable insights. For us, "attribution, evolved" isn't just a slogan; with our machine learning-powered Ensemble Method, we break free of the one-size-fits-all algorithm and create a truly unique, dynamic, and predictive solution for our customers. Conversion Logic is a media agnostic, lean start-up with brains and grit, and we're dedicated to helping clients reduce friction, adapt and realize value more quickly than ever before. 

Changing an industry is never a small task and requires a team of exceptional people. Our Engineering Team is seeking a QA Engineer  to drive end-to-end data and application quality over massive event streams, big-data processing systems and UIs, in a multi-tenant, highly-available enterprise SaaS platform.

HOW YOU WILL HAVE AN IMPACT

  • Ensure ongoing quality of incoming advertiser and partner data across standard and custom integration points

  • Ensure accuracy and consistency of big-data processing, analytical results and reporting

  • Extend and enhance scalable, continuous automated data validation and monitoring procedures

  • Validate features and multi-tenant configuration of single-page-app Dashboard UI

  • Lead teams of internal, contract and outsourced automation engineers and testers

WHAT YOU WILL NEED

  • Experience validating a complex multi-tenant data warehouse at scale

  • Experience validating a highly configurable multi-tenant single-page-app reporting UI

  • Experience with SQL data validation

NICE-TO-HAVE

  • Experience with Python for test automation

  • Experience with single-page-app test automation

  • Experience with automated monitoring and alerting systems

  • AWS experience

  • Ad-tech domain knowledge

Conversion Logic is an EOE M/F/D/V