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Software Dev QA Engineer- 3

Software Dev QA Engineer- 3

ConfidentialBengaluru / Bangalore
4 days ago
Job description
  • Fortinet, founded over 20 years ago, has become a driving force in the evolution of cybersecurity and the convergence of networking and security. Our mission is to secure people, devices, and data everywhere.
  • What You Will Do :

    • Design, develop, and execute comprehensive test cases and test plans for networking products and AI / ML-based solutions.
    • Perform functional, performance, scalability, and stress testing to ensure product robustness.
    • Validate AI / ML models by testing accuracy, reliability, bias, and integration with system workflows.
    • Develop and maintain test automation frameworks and scripts for regression and functional testing.
    • Use tools like Selenium, Appium, or custom-built frameworks to automate test cases.
    • Optimize test coverage through automation for networking scenarios and AI / ML pipelines.
    • Test network protocols, devices, and configurations, including routers, switches, firewalls, and SD-WAN.
    • Analyse network traffic using tools like Wireshark or tcpdump to troubleshoot and debug issues.
    • Validate the integration of networking components with AI / ML-based systems.
    • Collaborate with data science team to understand AI / ML models and datasets.
    • Perform testing of data pre-processing, model training, deployment pipelines, and inference accuracy.
    • Develop methods to ensure explainability, fairness, and compliance of AI / ML models.
    • We Are Looking for :

    • 4-8 years of hands-on experience in product testing for networking and / or AI / ML domains.
    • Strong understanding of networking concepts such as TCP / IP, routing, switching, VLANs, VPNs, and network security protocols.
    • Proficiency in scripting languages like Python, Java.
    • Experience with CI / CD tools like Jenkins, GitLab.
    • Familiarity with automation frameworks.
    • Knowledge of AI / ML concepts, including supervised and unsupervised learning, neural networks, and model evaluation.
    • Hands-on experience with testing AI / ML models or familiarity with frameworks like TensorFlow, PyTorch, or Scikit-learn.
    • Experience with networking tools (Wireshark, Wirelesssniffer) and automation platforms.
    • Exposure to cloud environments (AWS, Azure, GCP) and testing APIs or micro services.
    • Skills Required

      Python, Selenium, Networking, Automation

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