Cloud Engineer

Careers at Crestron•Rockleigh, NJ

2d•$88,500 - $143,000•Onsite

About The Position

At Crestron Electronics, Inc we build the technology that integrates technology. We are proud to be the largest and most recognized brand in automation and control solutions, and the premier technology partner for fortune 500 businesses globally. Our products’ are integrated into new high-tech commercial buildings’ to include some of the most exciting real estate throughout the world. Our clients include Google, Microsoft, Amazon, LinkedIn and many others. We are the leaders in the most exciting industry in the world! Our automation and control solutions for homes and buildings allow our clients to control entire environments with the push of a button, integrating systems such as Audio Visual, Lighting, Shading, Security, Building Management Systems and HVAC to provide greater comfort, convenience and security. 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.

Requirements

Bachelor’s Degree in Arts/Sciences (BA/BS) in Computer Science or Information Technology related.
4-6 years Sr. cloud engineering with hands‑on Azure experience.
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.

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.