Senior Manager, QA Engineering – Cloud Networking

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.

Position: Senior Manager, QA Engineering – Cloud Networking

Location: United States (Remote/Hybrid)

Department: Cloud Networking Engineering

Reports to: Vice President of Engineering

About the Role

Extreme Networks is seeking a Senior Manager, QA Engineering to lead quality strategy and execution for our Cloud Networking platform. In this role, you will build and scale a high-performing quality engineering organization responsible for the reliability, scalability, and security of our cloud-managed networking solutions (Extreme Platform ONE, ExtremeCloud IQ, and related SaaS services). You will partner closely with Development, Product Management, DevOps/SRE, and Customer Support to ensure every release meets the highest standards of quality before it reaches our customers.

Key Responsibilities

• Lead, mentor, and grow a team of QA engineers and SDETs across manual, automation, performance, and security testing disciplines.
• Define and drive the End to End Integration and System quality strategy, test methodology, and release quality gates for the Cloud Networking product portfolio.
• Own end-to-end test planning and execution for cloud-native, multi-tenant SaaS applications, including functional, regression, scalability, resiliency, and upgrade testing.
• Champion a shift-left quality culture by leveraging AI, embedding automated testing, CI/CD quality gates, and observability into the development lifecycle.
• Partner with Engineering and Product leadership to assess release readiness, manage risk, and make data-driven go/no-go decisions.
• Build and scale test automation frameworks for APIs, microservices, UI, and network device/cloud integration testing.
• Establish and track quality metrics (defect escape rate, test coverage, MTTR, automation ROI) and report on quality health to senior leadership.
• Drive root cause analysis and continuous improvement processes for escaped defects and customer-impacting issues.
• Collaborate with cross-functional and globally distributed teams, including outsourced/offshore QA partners, to ensure consistent quality practices.
• Manage QA budget, tooling investments (e.g., test management, automation, performance/load testing platforms), and vendor relationships.
• Stay current with industry best practices in cloud networking, SD-WAN, Wi-Fi, and network access control to inform test strategy.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience).
• 10+ years of software quality engineering experience, including 4+ years in a QA leadership/people management role.
• Proven experience testing cloud-based/SaaS platforms; networking domain experience (switching, wireless, SD-WAN, or network management) strongly preferred.
• Hands-on experience building and scaling test automation frameworks (e.g., Selenium, Cypress, PyTest, Robot Framework) and API testing tools (Postman, REST Assured).
• Strong understanding of CI/CD pipelines and DevOps practices (Jenkins, GitLab CI, Docker, Kubernetes).
• Experience with cloud platforms such as AWS, Azure, or GCP, and microservices-based architectures.
• Solid grasp of performance, load, scalability, and security testing methodologies.
• Excellent leadership, communication, and stakeholder management skills, with a track record of building high-performing, globally distributed teams.
• Experience with Agile/Scrum development methodologies.

Preferred Qualifications

• Experience testing network management/monitoring platforms or IoT/edge device integrations.
• Familiarity with observability and monitoring tools (Grafana, Prometheus, Datadog, Splunk).
• Certifications such as ISTQB, CSM/CSPO, or cloud certifications (AWS/Azure).
• Experience in a networking or telecommunications hardware/software company.

What We Offer

• Competitive salary, bonus
• Comprehensive health, dental, and vision benefits.
• 401(k) with company match.
• Flexible remote/hybrid work environment.
• Opportunity to shape quality engineering for a rapidly growing cloud networking business.

Extreme Networks is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.