Remote Azure Platform Engineer | Scale, Security & DevOps

Bright Vision Technologies; Flower Mound (TX); On-site; USD 133,000 - 158,000; Full time

Job summary

Bright Vision Technologies is seeking a skilled Azure Platform 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 ongoing operational excellence for production workloads.

The ideal candidate will have deep Azure expertise, strong DevOps practices, and collaboration with security

Qualifications

• 5+ years of cloud engineering experience in production.
• 3+ years focused on Microsoft Azure in production environments.
• Strong knowledge of Azure core services (compute, storage, networking, identity).
• Experience with infrastructure-as-code tools (Terraform, Bicep, ARM templates).
• Experience designing/operating AKS clusters and CI/CD pipelines.

Responsibilities

• Design, deploy, and operate large-scale, secure Azure cloud platforms on Microsoft Azure.
• 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 solutions.
• Implement monitoring, alerting, and observability across distributed workloads.
• Contribute to the maintenance of production workloads and operational excellence.

Skills

Azure cloud engineering

DevOps practices

Scripting: PowerShell Bash Python

Security & compliance knowledge

Observability & monitoring

Tools

Terraform

Bicep

ARM templates

Azure DevOps

GitHub Actions

Job description

Bright Vision Technologies is seeking a skilled Azure Platform 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 ongoing operational excellence for production workloads.

The ideal candidate will have deep Azure expertise, strong DevOps practices, and collaboration with security