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About the role

  • Staff Cloud Operations Engineer at Extreme Networks managing cloud operations and support. Responsibilities include optimizing monitoring and alerting strategy across cloud infrastructure and applications.

Responsibilities

  • Manage and maintain Extreme Cloud product and services
  • Participate in developing the Edge Cloud Support System
  • Troubleshoot and follow up on Cloud infrastructure / application related issues
  • Participate in continuous cloud service operations with US, EU, and China teams.
  • Communicate with Dev/QA as well as external carriers to resolve and prevent issues.
  • Improve 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.
  • Provide 24* 7 support for Edge Cloud products and services
  • Participate in cloud security and compliance implementation.

Requirements

  • 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).
  • Hands-on experience with container-based architecture and deployment (Docker, Kubernetes.)
  • Hands-on experience with deployment automation development (ArgoCD, Terraform, Helm).
  • Experience in diagnosing and resolving complex application problems.
  • Working Knowledge of Linux, security, and networking fundamentals.
  • Working knowledge of Elasticsearch, PostgreSQL, Redis, Ignite, Kafka and RabbitMQ.
  • Comfortable working within a distributed team located in multiple time zones.

Job type

Full Time

Experience level

Lead

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

AWSAzureCloudDockerElasticSearchGoogle Cloud PlatformKafkaKubernetesLinuxMicroservicesPostgresRabbitMQRedisTerraform

Location requirements

HybridTorontoCanada

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