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QA Automation Engineer II
Bluberi
Hyderabad, IND
Full-time
Mid · 3+ years experience
Hybrid
Discovered 2 weeks ago
C#C/C++OpenCVJenkinsAzure DevOpsGitLab CI
Free
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C#C/C++OpenCV
Role Overview
Under the supervision of the Innovation Lab Director or delegate, the QA Automation Engineer is responsible for designing and building the automated testing infrastructure that ensures the quality, compliance, and performance of slot game development. This role combines expertise in C# development, computer vision, and AI-assisted testing to automate validation across game logic, visual rendering, and math models, while partnering closely with QA, game development, and engineering teams throughout the game lifecycle.
Key Skills for This Role
C#C/C++OpenCVJenkinsAzure DevOpsGitLab CI
Full Job Posting
JOB SUMMARY
Under the supervision of the Innovation Lab Director or delegate, the QA Automation Engineer is responsible for designing and building the automated testing infrastructure that ensures the quality, compliance, and performance of slot game development. This role combines expertise in C# development, computer vision, and AI-assisted testing to automate validation across game logic, visual rendering, and math models, while partnering closely with QA, game development, and engineering teams throughout the game lifecycle.
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Essential duties and responsibilities include but are not limited to the following:
- Develop and maintain C# automation suites validating game logic, paytables, reel math, bonus triggers, and payout calculations against certified specs.
- Build CV-based systems (OpenCV or similar) to visually verify screen rendering, symbol placement, animations, and on-screen game state — including hardware/cabinet testing where API access is limited.
- Develop test harnesses that interface with game engines and firmware to inject test conditions and capture internal state for regulatory certification (GLI, BMM, etc.).
- Create AI/ML tools that detect visual anomalies (glitches, misrenders) and statistical anomalies (RNG/RTP deviations), accelerating regression detection beyond manual QA.
- Integrate automated visual, logic, and compliance tests into build pipelines, ensuring every release is validated before reaching QA or regulators.
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