Senior QA Escalation Engineer - 9791 (Wi-Fi, Networking & Security)

San Jose, California, United States

Extreme Networks

We provide networking solutions to power your business. Our flexible and scalable cloud networking services help optimize your network infrastructure.

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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 Title: Senior QA Escalation EngineerLocation: San Jose, California (Onsite)Job Type: Full Time

Scope:

  • Depending on candidate’s experience and skillset, thie candidate will either join Extreme’s software escalation team, working alongside GTAC, QA and development on customer escalations, or be part of the Software Quality Assurance team to help create, maintain and execute automated solutions level test cases. Reporting to the wireless software Quality Organization the responsibilities include:
  • Develop, maintain, and execute automated test cases using Python.
  • Replicate software defects found in the field
  • Maintain documentation of test results.
  • Analyze test results to validate existing functionality and recommend corrective action.
  • Submit identified defects into a defect tracking system.
  • Work with development engineers in resolution of identified defects.
  • Triage software defects with the team and prioritize defect fix queues.
  • Review functional specifications and product documentation.
  • Analyze and write test standards and procedures.

Requirements:

  • Bachelor's degree in Computer Science, Math, or Engineering, and 7-10 years related experience.
  • Knowledge of Layer-2 and Layer-3 networking and security technologies. Specifically with WiFi (802.11, WiFi7, WiFi 6E), IPv4, IPv6, 802.1X, RADIUS.
  • Ability to code with Python.
  • Knowledge of cloud environment and container (AWS/Kubernetes).
  • Excellent oral and written communication skills.

Desired Skills/Experience:

  • Experience automating test cases for Layer-2 and/or Layer-3 networking technologies.
  • Experience running automated regressions and performing failure analysis.
  • Experience maintaining all aspects of an automation infrastructure (servers, switches, routers, network traffic generators).
Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook.
We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.
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Category: Engineering Jobs

Tags: AWS Computer Science Engineering Kubernetes Machine Learning Mathematics Python Security

Perks/benefits: Career development

Region: North America
Country: United States

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