SDET building Cypress automation and regression coverage for Tag Software Group’s software teams. Using AI tools, CI/CD, and testing frameworks to improve QA quality and stability.
About the role
- Senior QA Automation Engineer leading quality assurance initiatives for Tubi's streaming and AI-driven features. Collaborating with teams to ensure exceptional user experiences across platforms.
Responsibilities
- Design and lead test strategies for streaming workflows, playback systems, and AI-powered features.
- Test across platforms (web, mobile, and connected TV) to ensure functional parity and playback stability.
- Validate streaming performance—including ABR logic, encoding pipelines, and DRM integrations—under diverse real-world conditions.
- Debug with precision using tools like Charles Proxy, Chrome DevTools, ADB, and Xcode. Collaborate with data and ML teams to validate AI model updates, recommendations, and personalization accuracy.
- Leverage AI-assisted QA tools to enhance regression coverage, UI validation, and anomaly detection.
- Contribute to automation and CI/CD frameworks, driving faster, more reliable releases.
- Help drive a shift-left testing approach by engaging early in the software development lifecycle, partnering with product managers, engineers, and data scientists to identify quality risks, define test strategies, and ensure testability during requirements and design phases.
- Oversee QA deliverables for multiple concurrent releases and ensure seamless sign-off for production launches.
- Monitor live environments for playback or recommendation anomalies post-release and escalate issues promptly.
- Continuously improve QA processes, metrics, and reporting for streaming and AI validation.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent hands-on experience.
- 4+ years of QA Automation experience, preferably in streaming media or VOD/OTT platforms.
- Strong technical knowledge of video streaming protocols (HLS, DASH, MPEG-TS), DRM systems, and CDN architectures.
- Experience validating AI/ML systems in production — e.g., testing model output accuracy, user personalization logic, and algorithm stability.
- Hands-on experience with test automation tools (Selenium, Appium, Playwright, Puppeteer) and AI-based visual testing.
- Proficiency in debugging tools and network analysis utilities (Charles Proxy, Chrome DevTools).
- Experience managing regression suites and release validation cycles across web, mobile, and connected TV platforms.
- Familiarity with Python, TypeScript, or JavaScript for scripting and test automation.
- Understanding of data validation, logging pipelines, and A/B testing frameworks.
- Strong analytical and documentation skills, with a proactive approach to cross-team collaboration.
Benefits
- Annual discretionary bonus
- Long-term incentive plan
- Medical/dental/vision insurance
- Vacation/paid time off
- Flexible Time Off Policy
- Generous Parental Leave Program
- Monthly wellness reimbursement
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