Cloud Engineer

Crestron Electronics Inc.; Plano (TX); On-site; USD 89,000 - 143,000; Full time

Job summary

Crestron Electronics Inc. in Plano, Texas seeks a Cloud Engineer with strong Azure experience to design, deploy, and optimize cloud resources for reliable, scalable workloads.

Collaborating with infrastructure, DevOps, and application teams, you will implement security, governance, and automation using Terraform, Bicep, ARM, and CI/CD pipelines. A BA/BS in CS or IT and scripting skills are essential.

Qualifications

• Bachelor’s Degree in CS or IT related field (required).
• 4-6 years senior cloud engineering with hands-on Azure experience (required).
• Strong understanding of core Azure services (VMs, Storage, VNets, Load Balancers, Entra ID).
• Experience supporting production cloud environments.
• Proficiency with PowerShell, Bash, or Python scripting.
• Experience with IaC (Terraform, Bicep, ARM) and CI/CD pipelines (Azure DevOps or GitHub Actions).
• Knowledge of Windows and Linux administration in cloud environments.

Responsibilities

• Deploy, configure, and manage Azure resources (compute, storage, networking, identity).
• Automate routine tasks and workflows with scripting.
• Monitor performance, availability, and cost using Azure tools.
• Support application teams with cloud deployments and environment setup.
• Participate in incident response and operational support for cloud workloads.
• Maintain documentation for configurations, standards, and procedures.

Skills

Azure

Scripting

Networking

Windows admin

Linux admin

Cost optimization

CI/CD

Education

Bachelor's in CS/IT

Tools

Terraform

Bicep

ARM

Azure DevOps

GitHub Actions

Job description

Overview

The Cloud Engineer specializes in Microsoft Azure to support, build, and optimize our cloud environments. This role focuses on deploying cloud resources, improving reliability, automating operations, and ensuring secure, efficient use of cloud services. The ideal candidate has hands‑on Azure experience, solid scripting skills, and the ability to collaborate with infrastructure, DevOps, and application teams to deliver stable and scalable cloud solutions.

Responsibilities

• 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 (e.g., Azure AI Foundry, Model Context Protocol/agentic tooling) and bring new ideas back to the team.

Qualifications

• 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.

Per applicable state requirements, the annual pay range for this position ($88,500 - $143,000) which consists of base salary (subject to performance), reflects the hiring range for candidates. Also note, an individual’s offer may vary from this range as it may be impacted by additional factors, including but not limited to the candidate's hiring location, qualifications, experience, and market factors.