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Lead QA Automation Engineer (Go & Python) @ Motorola Solutions Systems Polska

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Remote- zł17,000 - zł20,000 per month- Posted April 16, 2026- via aggregated

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Video Solutions teams in the Kraków R&D center have been growing dynamically since 2019. Currently, we have more than 150 specialists on board working on solutions for fixed and mobile cameras, video analytics, video management systems, and access control. We serve public safety and commercial customers including healthcare, airports, retail, critical infrastructure, and public venues. No longer is video just 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.
You will join the Krakow Alta Video Team, a group responsible for developing camera firmware built primarily using Go (Golang) and C++. We are looking for a team player who enjoys solving complex problems and is eager to improve system stability and robustness. This is a unique opportunity to work in a performance-critical environment where software interacts directly with hardware components, collaborating with hardware engineers and backend/UI developers located in both Kraków and London.

The Krakow Alta Video Team is seeking a skilled QA Automation Engineer to join our engineering squad. We are not looking for a task-executor - we need an engineer who will take full ownership of the quality of our camera product.

In this role, you will be the guardian of the user experience. You won't just automate tickets, you will design the test strategy, ensuring the right balance of testing across the entire stack. You understand the Testing Pyramid and know exactly when a test should be a fast Unit test, a complex Integration test, or a full System E2E scenario.

You will work side-by-side with Firmware and Backend developers, not just finding bugs, but preventing them by influencing the architecture and development process. You will use our proprietary in-house framework (Go & Python) to build a safety net that ensures our cameras perform flawlessly in the real world.

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