Video Analytics - Quality Assurance Automation Lead

Job Description

We need a highly skilled, detail-oriented Quality Assurance Automation Lead passionate about deploying commercial deep learning/computer vision systems. This lead will drive timely releases of our edge analytics security surveillance solutions (cameras, appliances, cloud services), collaborating with cross-functional teams to ensure high-quality IoT software meeting customer expectations.

Key Responsibilities

• Lead the design and implementation of automated testing pipelines for IoT devices.
• Develop and execute comprehensive QA strategies for edge-based video surveillance systems (cameras, appliances, cloud services), including OTA firmware releases.
• Collaborate with cross-functional teams to define requirements, timelines, and testing approaches (using real and synthetic data).
• Analyze test results, identify improvement areas, and maintain quality metrics and reporting.
• Stay current with industry best practices and improve cross-team issue resolution processes.
• Conduct field testing as needed.

In return for your expertise, we’ll support you in this new challenge with coaching & development every step of the way. 

Also, to reward your hard work you’ll get:

• Competitive salary package
• Private medical & dental coverage
• Employee Pension Plan
• Life insurance
• Employee Stock Purchase Plan
• Flexible working hours
• Strong collaborative culture
• Comfortable work conditions (high-class offices, parking space)
• Volleyball field and grill place next to the office
• Access to wellness facilities and integration events as well as training and broad
• Development opportunities

Basic Requirements

Required Skills

• Experience developing APIs for test automation and integrating with AI tools/databases.
• Experience with AI/ML/computer vision technologies and large-scale database systems.
• Proficiency with test management tools (e.g., TestRail, Zephyr) and CI/CD pipelines (e.g., Azure DevOps, GitHub Actions).
• Expertise in IP camera/video management system networking and protocols (DHCP, TCP/IP, PoE, SSH, RTP/RTSP, WebRTC, SSL, UART/Serial).
• Excellent problem-solving, analytical, and communication skills; experience working with diverse teams.
• Experience with synthetic video generation tools (Blender, Unreal Engine, Generative AI) a plus.

Requirements:

• Bachelor's degree in a technical engineering discipline (or equivalent experience).
• 4+ years' experience developing automation software (Python, JavaScript) for testing embedded hardware/IoT/robotics.
• 4+ years' experience as an Automation Test Engineer with cloud platforms (AWS, Azure, GCP) and CI/CD integration.
• 4+ years' QA leadership experience, preferably with firmware releases for video management systems or similar devices.
• Excellent teamwork, troubleshooting, communication, and organisational skills; highly adaptable and proactive.