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Strong brand, mid-level generalist title, and metro location increase applicant density.
Skills in testing distributed systems and data pipelines transfer across industries moderately well.
Explicit 5+ years, mandatory automation, cloud, and data testing skills.
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Define and execute comprehensive test strategies and scalable automated test suites for distributed AdTech systems involving ad serving, targeting, forecasting, and measurement.
Ensure integration and system-level quality by validating complex workflows, APIs, and third-party partnerships across AdTech platforms with a focus on reliability and data correctness.
Support modernization of platforms by embedding quality practices for cloud-native architectures, including performance, scalability, resiliency, and operational readiness.
5+ years in test engineering or quality engineering for distributed systems; experience with AdTech or high-scale platforms preferred.
Proficiency in at least one programming language: Python, Java, or Scala.
Hands-on experience with API automation, integration testing, SQL and NoSQL data validation, and cloud platforms (AWS, Azure, or GCP).
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Experienced in designing and implementing automation frameworks integrated with CI/CD pipelines to improve release confidence and reduce defects.
Skilled at cross-team collaboration to align on quality goals and mentoring junior engineers on automation and testing best practices.
Strong in data-driven defect analysis with proactive identification of integration and system-level risks in complex, real-time distributed AdTech systems.