We are seeking a highly skilled Senior QA Engineer to establish comprehensive quality assurance frameworks for our advanced video streaming platform that processes real-time video data from wearable devices and delivers AI-powered feedback through mobile applications.
This role requires deep technical expertise in both backend API testing and mobile application automation, with a focus on ensuring the reliability and performance of systems handling massive video data streams and machine learning integrations. You will design and implement testing strategies that encompass the entire technology stack, from video capture and processing to real-time user feedback delivery.
Key Responsibilities:
Develop and implement comprehensive QA strategies for an integrated hardware-software video streaming platform.
Create and maintain automated testing frameworks for Flutter-based mobile applications across iOS and Android platforms.
Design and execute backend API testing protocols covering REST, WebRTC/RTMP/ RTSP implementations.
Establish testing procedures for video capture, streaming, and processing capabilities across multiple device types.
Create CI/CD integration testing solutions to support continuous deployment and quality assurance.
Design test data preparation and synthetic data generation processes for comprehensive testing coverage.
Test push notification systems and real-time feedback delivery mechanisms.
Collaborate with ML engineering teams to validate AI algorithm performance and data accuracy.
Work closely with backend and mobile development teams to ensure seamless integration testing.
Requirements:
6+ years of QA engineering experience.
Extensive mobile automation testing experience covering iOS/Android/Flutter applications.
Proficiency in Python/TypeScript for test automation and framework development.
Strong experience building and maintaining automated testing frameworks in production environments.
Expertise in API testing across multiple protocols, including REST and streaming protocols (WebRTC/RTMP/RTSP).
Knowledge of CI/CD integration for automated testing and continuous quality assurance.
Experience with performance testing methodologies for high-scale applications.
Strong technical problem-solving skills and meticulous attention to detail.
At least Intermediate English proficiency (both written and spoken).
Nice to have:
Experience with cloud-based systems testing, particularly AWS infrastructure and services.
Experience in testing video streaming technologies and real-time video processing systems.
Understanding of security testing principles and implementation for data-sensitive applications.
Experience testing wearable devices, IoT products, or embedded systems integration.
Experience working with AI assistants.
Background in sports technology, fitness applications, or performance analytics platforms.
