QA Automation Engineer leading quality assurance initiatives for AI-driven streaming product features. Collaborating with engineering and product teams to define comprehensive QA strategies for functional excellence.
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.
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 in Mobile
Strong technical knowledge of video streaming protocols (HLS, DASH, MPEG-TS), DRM systems, and CDN architectures
Experience validating AI/ML systems in production
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
Strong experience 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.
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