Azure & AWS Cloud Engineer II — 24x7 Support

Rackspace US, Inc.

United States

Remote

USD 19,000 - 32,000

Full time

2 days ago
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Job summary

Rackspace Technology is seeking an experienced L2 Cloud Engineer to provide 24x7 Azure/AWS support. The role requires deep Azure expertise, Terraform scripting, and strong observability skills to drive incident resolution and post-mortems.

You will mentor L1 engineers, lead discussions with customer teams, and coordinate with offshore support in a matrixed environment. This position is based in India and focuses on cloud infrastructure management and automation.

Qualifications

  • 7+ years hands-on Azure cloud experience in a technical role.
  • Proficient in Azure IaaS, PaaS, and SaaS services.
  • Experience with Terraform for infrastructure automation.
  • Strong knowledge of observability tools and incident response.
  • Experience with Azure DevOps pipelines and automation tasks.

Responsibilities

  • Act as escalation point for Azure issues and drive resolution.
  • Lead technical discussions with customer engineering teams.
  • Write or modify basic Terraform scripts.
  • Collaborate with cross-functional teams in a matrixed environment.
  • Mentor L1 engineers and provide guidance.
  • Prepare incident reports and post-mortems for Azure issues.
  • Coordinate vendor escalations to resolve critical issues.

Skills

Azure expertise
AWS expertise
Terraform
Observability
Automation scripts

Education

Bachelor’s degree in IT or related field

Tools

Terraform
Azure DevOps
Grafana
PowerShell
Python
AWS CLI

Job description

Rackspace Technology is seeking an experienced L2 Cloud Engineer to provide 24x7 Azure/AWS support. The role requires deep Azure expertise, Terraform scripting, and strong observability skills to drive incident resolution and post-mortems.

You will mentor L1 engineers, lead discussions with customer teams, and coordinate with offshore support in a matrixed environment. This position is based in India and focuses on cloud infrastructure management and automation.

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