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Video Analytics - Quality Assurance Automation Lead @ Motorola Solutions Systems Polska
  • Kraków
Video Analytics - Quality Assurance Automation Lead @ Motorola Solutions Systems Polska
Kraków, Kraków, Lesser Poland Voivodeship, Polska
Motorola Solutions Systems Polska
21. 5. 2025
Informacje o stanowisku

Video Solutions teams in R&D center in Krakow have been growing dynamically since 2019. Currently, we have more than 180 specialists on board working on solutions for cameras, video analytics, video management systems as well as access control.

We bring advanced video and analytics capabilities to public safety and commercial customers including healthcare, airports, retail, critical infrastructure and public venues. Video is no longer reactive – looking back at what has taken place – but it also informs proactively, issuing alerts in real-time when a person, object or vehicle appears or a perimeter is crossed. This critical intelligence empowers users to take prompt and appropriate action.

We need a highly skilled, detail-oriented Quality Assurance Automation Architect passionate about deploying commercial deep learning/computer vision systems. This architect 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.
 


  • Strong expertise in Python programming, with a focus on building scalable, efficient, and maintainable codebases.
  • Required experience with Pytest or other Python testing frameworks (e.g., unittest, Nose, Robot Framework) for test automation, including writing, maintaining, and executing test cases.
  • 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.

Requirements:

  • Bachelors 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 organizational skills; highly adaptable and proactive.

Video Solutions teams in R&D center in Krakow have been growing dynamically since 2019. Currently, we have more than 180 specialists on board working on solutions for cameras, video analytics, video management systems as well as access control.

We bring advanced video and analytics capabilities to public safety and commercial customers including healthcare, airports, retail, critical infrastructure and public venues. Video is no longer reactive – looking back at what has taken place – but it also informs proactively, issuing alerts in real-time when a person, object or vehicle appears or a perimeter is crossed. This critical intelligence empowers users to take prompt and appropriate action.

We need a highly skilled, detail-oriented Quality Assurance Automation Architect passionate about deploying commercial deep learning/computer vision systems. This architect 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.
 

,[Create 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. Requirements: Python Additionally: Sport subscription, Training budget, Private healthcare, Small teams, International projects, Free coffee, Canteen, Bike parking, Playroom, Shower, Free snacks, Free beverages, Free parking, In-house trainings, No dress code.

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