Cloud Engineer - Junior Azure

Core Focus Areas: Azure Governance & Policy as Code

• Design and enforce Azure Policies as Terraform code and guardrails across subscriptions
• Manage RBAC, security posture, compliance, and lifecycle standards

Infrastructure as Code (Terraform)

• Build and maintain reusable IaC modules (Terraform and ARM)
• Automate landing zones and standardized environments

Azure Automation runbooks (PowerShell/Python) for tasks

• Ensure reliability with logging, error handling, and best practices
• Use Managed Identities for secure, credential-free access
• Oversee runbook lifecycle: version control, testing, and deployment
• Automate provisioning, compliance checks, remediation, and security triage
• Use PowerShell, Python, or Bash for end-to-end automation

DevOps & GitHub

• Integrate governance into CI/CD (Azure DevOps YAML pipelines, GitHub repositories)
• Enable policy validation, security scans, and drift detection in pipelines
• Manage code via Git-based workflows

What You Deliver:

• Automated guardrails and policy-as-code
• Scalable landing zones and standardized environments
• Continuous compliance, monitoring, and remediation
• Reusable frameworks and strong documentation

Required Experience:

• 3-5 years experience in a cloud engineering role
• One (1) plus years of governance experience
• Hands-on experience with:
• Azure Policy (initiatives, guardrails, remediation)
• RBAC and identity governance
• Subscription / landing zone design
• Resource guardrails across Azure services
• Azure vulnerability triaging (Defender for Cloud, Wiz)
• Proven experience with IaC tools (Terraform and ARM)
• Experience with CI/CD pipeline governance integration
• Solid understanding of cloud security and compliance
• Experience with:
• Git-based development workflows
• Architecture and governance models
• Troubleshooting Azure environments
• Exposure to TLM practices

Preferred Experience:

• Azure API Management (APIM)
• Improving API governance maturity (APIM/API Center)
• Familiarity with Azure API Center
• Securing and standardizing AI/API integrations leveraging MCP
• Awareness or initial exposure to MCP (AI integration patterns)