Principal Cloud Operations Engineer (10166)

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. **3 Days in Office - San Jose, CA - Hybrid** Extreme’s Cloud Operations team is a group of talented engineers passionate about building highly reliable, scalable and secure solutions in public/private cloud environments. We are looking to hire highly motivated Cloud Operations engineers with strong work experience in production operation, as well as cloud infrastructure design and implementation. Together, we will design, develop and implement the best public / private / local cloud solutions for our customers. This position is responsible for leading cloud infrastructure implementation initiatives and providing technical leadership in cloud architecture, operational excellence, and cost optimization. The role stays current with industry trends and best practices and leverages AI and cloud service provider platforms (AWS, Google Cloud, and Azure) to enhance operational efficiency, reliability, security, and scalability. Extreme Networks is the right place to be and now is the right time to join us and be part of our spectacular growth and success. We're looking for the best and the brightest 'A' players who want to make a difference doing a job they love. **Responsibilities:** - Provide technical leadership in cloud architecture, operational excellence, reliability, and cost optimization across large-scale production environments. - Stay current with industry trends and best practices, and leverage AI technologies and cloud service provider platforms (AWS, Google Cloud, and Azure) to improve operational efficiency, scalability, security, and resiliency. - Design and ensure secure, reliable, and high-performance communication across multiple regions and cloud service providers. - Configure, tune, and operate middleware services, including SQL and NoSQL databases, messaging and streaming platforms, and related infrastructure components. - Evaluate, recommend, and lead the adoption of CloudOps and DevOps tools, platforms, and automation solutions. - Troubleshoot complex production infrastructure and application issues, providing deep technical expertise and hands-on support when required. - Drive root cause analysis (RCA), implement corrective actions, and establish preventive measures to avoid recurrence. - Collaborate closely with engineering cloud architects in system design discussions, architecture reviews, and whiteboard sessions. - Partner with Development, QA, SRE, and external service providers or carriers to resolve issues and improve system reliability. - Design, implement, and evolve deployment automation platforms for Kubernetes-based microservices. - Improve service availability, performance, and scalability through automation, tooling, capacity planning, and process improvements. - Analyze system and service performance, identify bottlenecks, and deliver actionable recommendations to improve efficiency and resilience. **Qualifications:** - BS level technical degree required; Computer Science or Engineering background preferred. - 8+ years of experience in a CloudOps / DevOps role. - Hands on experience with AWS or any public cloud (Azure, GCP etc.). - Knowledge of Linux, security and networking fundamentals. - Working knowledge of container-based architecture and deployment (Docker, Kubernetes.) - Working knowledge of deployment automation development (Terraform, Helm, ArgoCD). - Experience in diagnosing and resolving complex application problems. - Working knowledge of Elasticsearch, PostgreSQL, Redis, Ignite, Flink, Kafka, and RabbitMQ. - Experience with monitoring tools (Nagios, Grafana, Prometheus) - Experience with cloud security and compliance implementation is a plus. - Strong follow-through and initiative to stay with issues until they are resolved. - Comfortable working within a distributed team located in multiple time zones. Compensation: This role has a market-competitive salary with an anticipated base compensation range of 180,000-260,000 USD. The posted range reflects the amount Extreme Networks reasonably and in good faith expects to pay for this role upon hire. This range is set using objective, gender-neutral criteria based on skills, experience, responsibility, and working conditions. Actual compensation offered will depend on the selected candidate's experience, qualifications, skills, and work location. Benefits and Total Rewards: Extreme Networks offers a comprehensive benefits package. Specific benefits vary by country and may include: • Medical, dental, and vision insurance • Flexible work schedules and work-from-home opportunities where role permits • Paid time off, including open time off in eligible markets and statutory leave in all markets • Paid holidays in accordance with local practice • Retirement savings programs, including 401(k) matching in the United States • Employee Stock Purchase Program, where eligible • Adoption assistance and fertility treatment support, where eligible • Flexible spending accounts, where eligible • Employee assistance program • Tuition reimbursement, where eligible • Life and disability insurance Benefits eligibility is based on country of employment, role, and employment status. Complete benefits details will be provided during the interview process and in the formal offer of employment. Equal Employment Opportunity Extreme Networks, Inc. is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We are committed to taking affirmative action to employ and advance in employment qualified protected veterans, including disabled veterans, recently separated veterans, active-duty wartime or campaign badge veterans, and Armed Forces service medal veterans. Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (for example, stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks. We encourage people from underrepresented groups to apply. Fair chance and background checks Extreme Networks will consider qualified applicants with criminal histories in a manner consistent with the California Fair Chance Act, Los Angeles Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance for Employers, Philadelphia Fair Criminal Record Screening Standards Ordinance, Illinois Human Rights Act, Cook County Human Rights Ordinance, Seattle Fair Chance Employment Ordinance, and the San Francisco Fair Chance Ordinance. An applicant's conviction history will not be considered until after a conditional offer of employment has been made. Following any individualized assessment, applicants will be provided with the opportunity to respond before any adverse action is taken. Extreme Networks does not seek salary history information from applicants and will not rely on salary history in determining whether to offer employment or in setting compensation. Reasonable accommodation Extreme Networks is committed to providing reasonable accommodations to qualified applicants with disabilities throughout the application, interview, and hiring process. If you require a reasonable accommodation to participate in the application or interview process, please contact [insert contact email and phone]. All requests will be handled confidentially. Use of artificial intelligence in hiring Extreme Networks may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are made by humans. Applicants have the right to request human review of any automated decision affecting their candidacy and to request information about how their personal data is processed. To exercise these rights, please contact [insert contact email]. Data privacy Personal data provided during the application process will be processed in accordance with Extreme Networks' Candidate Privacy Notice, which is available at . For applicants in the European Economic Area, United Kingdom, and other jurisdictions with comparable data protection laws, the Candidate Privacy Notice describes your rights regarding your personal data. About Extreme Networks Extreme Networks, Inc. (NASDAQ: EXTR) creates effortless networking experiences that enable people and organizations to advance. We push the boundaries of technology by leveraging machine learning, artificial intelligence, analytics, and automation. Learn more at [](http://www.extremenetworks.com), or follow us on LinkedIn, X, and Facebook.