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Cloud Engineer
Crestron Electronics. Deploy, configure, and manage Azure cloud resources, including compute, storage, networking, and identity services .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in deploying and managing Azure cloud resources, with a strong focus on automation, security best practices, and cost optimization. Proficient in scripting and infrastructure as code, supporting production environments, and leveraging AI-enabled cloud capabilities.
Highest-signal resume keywords
Azure Cloud ManagementPowerShell ScriptingInfrastructure as CodeCloud Security Best PracticesCost Optimization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Azure ServicesVirtual MachinesStorage AccountsNetworking FundamentalsBash ScriptingPython ScriptingTerraformAzure DevOpsWindows AdministrationLinux Administration
Tools & Technologies
Azure MonitorLog AnalyticsAzure AI FoundryGitHub ActionsRBAC
Certifications & Qualifications
Bachelor’s Degree in Computer Science or Information Technology
Industry Keywords
Cloud EngineeringProduction Cloud EnvironmentsCloud GovernanceIncident ResponseOperational Support
Tech Stack
Tools & technologiesAzureCloudDNSFirewallsLinuxPythonTerraform
About the role
Key responsibilities & impact- Deploy, configure, and manage Azure cloud resources, including compute, storage, networking, and identity services
- Support and maintain Azure infrastructure such as VMs, App Services, Functions, Storage Accounts, and VNets
- Automate routine tasks and operational workflows using PowerShell, Bash, or Python
- Monitor cloud performance, availability, and cost using Azure Monitor, Log Analytics, and Alerts
- Assist in implementing cloud security best practices, including RBAC, conditional access, encryption, and policy compliance
- Troubleshoot cloud infrastructure issues across compute, network, and identity layers
- Support application teams with cloud deployments, configuration, and environment setup
- Participate in incident response and provide operational support for cloud-hosted workloads
- Maintain documentation for cloud configurations, standards, and operational procedures
- Work on cloud cost optimization and maintain needed documentation
- Explore and help evaluate emerging AI-enabled cloud capabilities, including Azure AI Foundry, Model Context Protocol/agentic tooling, and bring new ideas back to the team
Requirements
What you’ll need- Bachelor’s Degree in Arts/Sciences (BA/BS) in Computer Science or Information Technology related. Required
- 4-6 years Sr. cloud engineering with hands-on Azure experience. Required
- Strong understanding of core Azure services, VMs, Storage, VNets, Load Balancers, AD / Entra ID, RBAC, App Services, Functions, Logic Apps, Monitor, Log Analytics
- Experience supporting production cloud environments
- Solid understanding of networking fundamentals: DNS, routing, firewalls, VPN
- Proficiency in PowerShell, Bash, or Python scripting
- Experience with Infrastructure as Code (Terraform, Bicep, ARM)
- Familiarity with CI/CD pipelines using Azure DevOps or GitHub Actions
- Knowledge of Windows and Linux administration in cloud environments
- Experience with cost optimization and cloud governance
- Exposure to AI-enabled Azure tooling such as Azure AI Foundry, Azure OpenAI, or agentic/MCP-based frameworks