Principal/Sr Principal QA SW Engineer- Cloud Platform Automation Architect

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.

Cloud Platform Automation Architect

Are you energized by the idea of innovating with generative AI? Do you aspire to create a global impact while tackling challenges at the forefront of AI and highly scalable distributed systems? Do you want to be part of the team working on groundbreaking products that define the future of AI-driven network management? Then come, advance with us. This is an incredible opportunity to innovate new networking experiences while working at the cutting edge of IoT, big data, cloud computing, microservices, and generative AI.

As a part of this group, you will lead the AI-driven transformation of our multi-product, multi-cloud software release pipelines. This includes architecting and optimizing our CI/CD pipelines, implementing robust QA and integration testing frameworks, and enhancing production monitoring and observability. You will leverage AI and automation to streamline deployments, and implement intelligent test automation systems, ensuring seamless integration of our complex multi-cloud architecture. Your role will be pivotal in driving continuous improvement, introducing efficiencies, reducing operational risks and increasing reliability and scalability of our systems. Constant experimentation with new technologies and innovation in AI-driven DevOps experiences will be key, as you launch state-of-the-art machine learning and microservices based solutions.

Responsibilities:

• Evaluate current software release processes and identify areas for improvement through AI-driven automation.
• Implement intelligent test automation systems to enhance QA and integration testing frameworks.
• Architect and optimize CI/CD pipelines to streamline deployments across our multi-product, multi-cloud environment.
• Measure the effectiveness of automation strategies and continuously refine them to improve reliability and scalability.
• Collaborate with cross-functional teams to establish best practices for automation and deployment processes.
• Review and analyze system specifications to design automation systems that meet complex multi-cloud architecture needs.
• Develop comprehensive project plans for automation initiatives, including resource allocation and budget estimations.
• Create and maintain detailed documentation of automation processes, tools, and usage guidelines.
• Provide training and guidance to team members on AI-driven testing and automation best practices.

Qualifications:

• Degree in Computer Science, Engineering, Mathematics, or a related discipline.
• Extensive work experience as an Automation Architect, DevOps Engineer, or similar role, with a focus on high-scale cloud environments.
• Proven hands-on experience with automated testing tools and methodologies, including AI-driven test automation and intelligent test systems.
• Strong understanding of CI/CD pipelines, deployment automation, and cloud infrastructure management.
• Proficiency in programming languages such as Java, Python, Go, and experience with cloud platforms.
• Strong understanding of business process analysis, process improvement, and implementing automation strategies across complex multi-cloud architectures.
• Excellent problem-solving skills and attention to detail, with a track record of driving continuous improvement and innovation.
• Experience with monitoring and observability tools (e.g., Prometheus, Grafana, etc.) and familiarity with SQL and NoSQL databases.
• Excellent written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams and create comprehensive documentation.

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.