Cloud DevOps Engineer

5 days ago

Work from Home, Philippines Branders, Inc - ROHQ Full time ₱60,000 - ₱180,000 per year

We are seeking a skilled Cloud DevOps Engineer with strong experience in hybrid cloud environments to join our IT team. The ideal candidate has hands-on experience with Terraform, container orchestration in AWS ECS, scripting, cloud security, and hybrid infrastructure spanning both AWS and Azure.

Essential Functions:

  • Design, manage, and scale infrastructure using Terraform (IaC) across AWS and Azure.
  • Build and maintain CI/CD pipelines using Bitbucket and related DevOps tools.
  • Configure and manage site-to-site VPNs between Azure and AWS.
  • Perform day-to-day SysOps tasks including patching, logging, monitoring, and incident response.
  • Implement and maintain cloud security best practices and compliance controls.
  • Deploy and manage containerized workloads using AWS ECS.
  • Develop automation scripts using Python, Bash, or PowerShell.
  • Administer resources in Azure, including Microsoft 365 Admin Center management.
  • Support database operations and performance tuning.
  • Work with serverless technologies such as AWS Lambda and Azure Functions.

Essential Qualifications:

Education/Certification: Bachelor's degree required

Experience Required:

  • Minimum 3 years of experience in a Cloud DevOps or SysOps role.
  • Expertise with Terraform and infrastructure-as-code principles.
  • Proficient in scripting with Python, Bash, or PowerShell.
  • Experience deploying and managing workloads in AWS ECS.
  • Solid understanding of site-to-site VPN configuration and troubleshooting between Azure and AWS.
  • Hands-on experience with Azure administration and Microsoft 365 Admin Center.
  • Familiarity with networking concepts including VPCs, routing, peering, NSGs, and firewalls.
  • Knowledge of cloud security best practices and controls.
  • Experience building and managing CI/CD pipelines using Bitbucket
  • Experience with cloud monitoring tools (CloudWatch, Azure Monitor, Datadog) is highly preferred.
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