Remote Azure Cloud Engineer - Scale, Security & Automation

Bright Vision Technologies; Aurora (IL); Remote; USD 95,000 - 125,000; Full time

Job summary

Bright Vision Technologies is seeking an experienced Azure Cloud Engineer to design, deploy, and operate large-scale, secure cloud platforms on Microsoft Azure. You will own the end-to-end cloud engineering lifecycle, including architecture, infrastructure as code, automation, security hardening, cost optimization, observability, and operational excellence for production workloads.

The ideal candidate brings deep Azure expertise, strong DevOps practices, and collaboration with application

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• Five+ years of cloud engineering experience, with at least three years on Microsoft Azure in production.
• Strong hands-on experience with Azure core services (compute, storage, networking, identity, PaaS).
• Production-level experience with IaC tools such as Terraform, Bicep, or ARM templates.
• Experience designing and operating AKS clusters at scale.
• Hands-on with CI/CD tools (Azure DevOps or GitHub Actions).
• Scripting skills in PowerShell, Bash, Python for automation.
• Deep understanding of cloud security, identity, and compliance frameworks.

Responsibilities

• Design, deploy, and operate large-scale, secure Azure cloud platforms.
• Own end-to-end cloud engineering lifecycle: architecture, IaC, automation, security, cost optimization.
• Collaborate with development, security, and SRE teams to deliver scalable, compliant cloud solutions.

Skills

Azure services

Terraform

AKS

Azure DevOps/GitHub Actions

PowerShell/Bash/Python

Security/compliance

Observability/Monitoring

CI/CD

Education

Bachelor’s degree in Computer Science/Engineering or related

Tools

Terraform

Bicep/ARM templates

Azure DevOps

GitHub Actions

Job description

Bright Vision Technologies is seeking an experienced Azure Cloud Engineer to design, deploy, and operate large-scale, secure cloud platforms on Microsoft Azure. You will own the end-to-end cloud engineering lifecycle, including architecture, infrastructure as code, automation, security hardening, cost optimization, observability, and operational excellence for production workloads.

The ideal candidate brings deep Azure expertise, strong DevOps practices, and collaboration with application