Azure Cloud Engineer — Remote, Scalable & Secure

Bright Vision Technologies; Bellevue (WA); On-site; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking a skilled Azure Cloud Solutions 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, IaC, automation, security hardening, cost optimization, observability, and ongoing operational excellence for production workloads.

The ideal candidate combines deep Azure expertise with DevOps practices and collaborates with application development,

Qualifications

• Bachelor’s degree in CS, Engineering, or related field.
• 5+ years of cloud engineering experience, incl. 3+ years on Azure.
• Hands-on with Terraform, Bicep, or ARM templates.
• Experience operating AKS clusters at scale.
• Proficient in Azure DevOps or GitHub Actions for CI/CD.
• Strong scripting in PowerShell, Bash, and Python.

Responsibilities

• Design and implement Azure cloud architectures for enterprise workloads.
• Develop and maintain IaC using Terraform, Bicep, or ARM templates.
• Manage AKS clusters, networking, and security controls.
• Build CI/CD pipelines with Azure DevOps or GitHub Actions.
• Monitor observability, cost optimization, and security posture.
• Collaborate with engineering and security teams.

Skills

Azure

IaC

CI/CD pipelines

Scripting (PowerShell/Bash/Python)

Security & compliance

Education

Bachelor’s degree in Computer Science, Engineering, or related technical discipline

Tools

Terraform

Bicep

ARM templates

AKS

Azure DevOps

GitHub Actions

PowerShell

Python

Job description

Bright Vision Technologies is seeking a skilled Azure Cloud Solutions 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, IaC, automation, security hardening, cost optimization, observability, and ongoing operational excellence for production workloads.

The ideal candidate combines deep Azure expertise with DevOps practices and collaborates with application development,