Remote Azure Infrastructure Engineer – Cloud & DevOps

Bright Vision Technologies

Artesia, Cerritos (CA, CA)

Remote

USD 100,000 - 120,000

Full time

4 days ago
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Job summary

Bright Vision Technologies is seeking an Azure Infrastructure Engineer to design, deploy, and operate scalable cloud platforms on Microsoft Azure. This remote role owns 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 will have 6+ years of cloud engineering experience, with at least 3 years on Azure in production,

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
  • Five or more years of cloud engineering experience, with at least three years focused on Microsoft Azure in production environments.
  • Strong hands‑on experience with Azure core services (compute, storage, networking, identity, PaaS).
  • Experience with infrastructure‑as‑code tools such as Terraform, Bicep, or ARM templates.
  • Experience designing and operating AKS clusters at scale and CI/CD across infrastructure and apps.

Responsibilities

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

Skills

Cloud engineering
Azure security
Observability
Scripting
Troubleshooting
Communication
DevOps practices

Education

Bachelor's degree

Tools

Terraform
Bicep
ARM templates
AKS
Azure DevOps
GitHub Actions

Job description

Bright Vision Technologies is seeking an Azure Infrastructure Engineer to design, deploy, and operate scalable cloud platforms on Microsoft Azure. This remote role owns 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 will have 6+ years of cloud engineering experience, with at least 3 years on Azure in production,

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