SR WIRELESS SW ENGR- 9937 Cloud Automation- Python / Robot Framework

Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team. Job Description : Senior QA Engineer – Cloud & Networking Focus Experience : 5 to 9 Years We are seeking a highly skilled and versatile QA Engineer with deep expertise across cloud technologies, networking protocols, and automation frameworks. The ideal candidate will need to have a strong background in designing and executing comprehensive test strategies and test plans, and also develop automated test scripts for the features that are validated. Key Responsibilities & Expertise : Design and implement end-to-end test strategies and plans for cloud-based applications.Develop automated test scripts using  Python, Perl, Go , and frameworks such as  Robot Framework  and  PyTest .Validate enterprise  wireless and wired networking protocols to ensure robust performance and reliability.Test and verify  security protocols,  including AAA, , Captive Portal, VPN, Firewalls, and SSL.Automate UI testing using tools like  Selenium  or  Playwright .Utilise network testing tools, including  Wireshark ,  iPerf , and  Veriwave .Conduct performance and load testing using tools like  JMeter ,  Grafana K6 , etc.Leverage cloud platforms such as  AWS ,  Google Cloud , or  Azure  for testing and deployment.Apply containerization and orchestration technologies, including  Docker ,  Kubernetes , and clustering solutions.Operate in  Linux / Unix environments  with proficiency.Explore and apply  AI / ML tools  to enhance testing capabilities.Demonstrate strong analytical thinking and effective communication skills. Preferred Qualifications & Added Advantages : Cloud Practitioner Certification  in AWS, GCP, or Azure.Experience in testing  enterprise networking solutions .Expertise in  scale and performance testing  in cloud environments.Familiarity with  traffic generators  such as  Ixia  or  Spirent .Experience using  GitHub Copilot  or similar AI-assisted development tools.Certifications such as  CCNA (Routing & Switching) ,  CWNA , or  Security+ .