Job Teaser Summary
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 a highly motivated Cloud Operations engineer with strong working experience in production operation and deployment automation. You will work with the team to design, develop and implement deployment automation solutions end-to-end. You will also be expected to participate in continuous cloud service operation, troubleshoot and resolve complex issues in production. We will work together to design, develop and implement the best public / private / local cloud solutions for our customers. 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
* Manage and maintain ExtremeCloud service infrastructure in AWS, GCP & Azure.
* Participate in continuous cloud service operations with remote cloud operations teams.
* Troubleshoot and follow up on production infrastructure / application related issues.
* Driving root cause analysis and resolution.
* Communicate with Dev/QA as well as external carriers to resolve and prevent issues.
* Participate in release deployment, system maintenance and cloud expansion.
* Improve service availability and scalability through tuning, automation, tools, and process.
* Analyze service performance, identify bottleneck and provide actionable improvement plans.
* Improve service monitoring coverage, accuracy and efficiency.
* Participate in cloud security and compliance implementation.
Qualifications
* BS level technical degree required; Computer Science or Engineering background preferred.
* 5+ 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 (Argo Workflows, Terraform, Helm).
* Experience in diagnosing and resolving complex application problems.
* Working knowledge of Elasticsearch, PostgreSQL, Redis, Ignite, Kafka and RabbitMQ.
* Experience with monitoring tools (Nagios, Kibana, 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.
Extreme Networks, Inc. (EXTR) is the industry's first cloud-driven, end-to-end enterprise networking company. Our best-of-breed technology solutions, from the wireless and IoT edge to the data center, are flexible, agile, and secure to accelerate the digital transformation of our customers and provide them with the fastest path to the autonomous enterprise. Our 100% in-sourced services and support are number one in the industry. Even with 50,000 customers globally, including half of the Fortune 50 and some of the world's leading names in business, hospitality, retail, transportation and logistics, education, government, healthcare, and manufacturing, we remain nimble and responsive to ensure customer and partner success. We call this Customer-Driven Networking. Founded in 1996, Extreme is headquartered in San Jose, California. For more information, visit Extreme's website or call
Extreme Networks provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, pregnancy, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
We 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 ultimately made by humans. If you would like more information about how your data is processed, please contact us.