Fortinet Software Dev QA Engineer- 

India, Karnataka 

565069216

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.

Preferred Qualifications

Certifications such as CCNA/CCNP, Cloud based Certified.

Experience in performance testing of networking equipment and AI/ML pipelines.

Working Conditions:

This position requires working from the office full-time; remote work is not available.