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SW Applications Engineer
Job Description & How to Apply Below
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 Operations Engineer (10025)
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 Extreme Cloud service infrastructure in AWS, GCP & Azure.
Participate in continuous cloud service operations with US, EU, and China 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.
Design and implement deployment automation platform for Kubernetes based microservices.
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.
Ideal Qualifications
BS level technical degree required;
Computer Science or Engineering background preferred.
5+ years of experience in a Cloud Ops / Dev Ops 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, Postgre
SQL, Redis, Ignite, Kafka and Rabbit
MQ.
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.
$100,000 - $120,000 a year
Salary based on qualifications and experience up to 120,000 plus benefits
Location:
Toronto, Ontario is preferred - our site is located in Thornhill. We’re utilizing a Flex First (hybrid) approach to allow employees to work both remotely and have access to our offices for collaboration, labs and office resources. We’re also open to remote hire in Canada in order to find the right skills for this role.
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…
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