NAP Network Test Automation Development Engineer
Nokia- Location
- India
- Workplace
- Hybrid
- Employment
- Full Time
- Salary
- —
Posted 18d ago
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.
Skills
- Python
- Java
- Go
- pytest
- Selenium
- Postman
- TCP/IP
- Jenkins
- GitLab CI
- Machine Learning
- TensorFlow
- PyTorch
- AWS
- Azure
- GCP
- Docker
- Kubernetes
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