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As a technology leader across mobile, fixed and cloud networks, our solutions enable a more productive, sustainable and inclusive world.
The NAP - Network Test Automation Development Engineer is responsible for building scalable and intelligent test automation solutions for complex network systems. This role blends deep networking expertise with modern automation, CI/CD, and AI/ML techniques to ensure high quality, reliability, and faster delivery of carrier-grade, cloud-native network products.
- Design, develop, and maintain scalable automation frameworks for functional, regression, performance, and end-to-end network testing.
- Develop automated test suites using Python, Java, or Go with frameworks such as Robot Framework, pytest, and Selenium.
- Integrate automated tests into CI/CD pipelines to enable continuous testing and faster release cycles.
- Apply AI/ML techniques for intelligent test case generation, anomaly detection, predictive defect analysis, and self-healing automation.
- Analyze large volumes of test and network data to identify patterns, trends, and quality risks.
- Develop AI-driven tools for network test data analysis, insights, and visualization.
- Collaborate with development, product, and QA teams to ensure testability and timely defect resolution.
- Contribute to test strategy, code reviews, design discussions, and maintain automation documentation.
You have:
- 7+ years of experience with strong programming skills in Python, Java, or Go for test automation and tool development.
- Hands-on experience with test automation frameworks such as Robot Framework, pytest, Selenium, and Postman.
- Solid understanding of network protocols and architectures (TCP/IP, IP/MPLS, Routing & Switching, SDN/NFV, 4G/5G).
- Experience with CI/CD tools and DevOps practices (Jenkins, GitLab CI, or similar).
- Practical understanding of AI/ML concepts applied to automation or data analysis.
- Exposure to ML libraries such as TensorFlow, PyTorch, or scikit-learn.
- Familiarity with cloud platforms and container technologies (AWS/Azure/GCP, Docker, Kubernetes).
- Strong analytical, problem-solving, communication, and cross-functional collaboration skills.
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