Senior Azure Platform Engineer – Remote & DevOps

Bright Vision Technologies; Wildwood (MO); Remote; USD 133,000 - 158,000; Full time

Job summary

Bright Vision Technologies is seeking an experienced Azure Platform Engineer to design, deploy, and operate large-scale 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 has deep Azure services knowledge, strong DevOps practices, and collaboration with

Qualifications

• Five or more years of cloud engineering experience.
• Strong Azure core services knowledge and production exposure.
• Experience with IaC tools: Terraform, Bicep or ARM templates.
• Experience operating AKS clusters at scale in production.
• CI/CD with Azure DevOps or GitHub Actions.
• Scripting in PowerShell, Bash, Python for automation.
• Strong security, identity, and compliance fundamentals.

Responsibilities

• Design, deploy, and operate large-scale cloud platforms on Azure.
• Own end-to-end cloud engineering lifecycle: architecture, IaC, automation, security hardening.
• Collaborate with development, security, and SRE teams to deliver compliant solutions.
• Implement monitoring, observability, and cost optimization for production workloads.
• Provide clear documentation and strong incident response and troubleshooting.

Skills

Azure core services

Infrastructure as code

DevOps practices

Observability

Security best practices

SRE collaboration

CI/CD

Tools

Terraform

Bicep

ARM templates

AKS

Azure DevOps

GitHub Actions

PowerShell

Python

Bash

Job description

Bright Vision Technologies is seeking an experienced Azure Platform Engineer to design, deploy, and operate large-scale 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 has deep Azure services knowledge, strong DevOps practices, and collaboration with