Azure Cloud Platform Engineer — AI-Driven Scale

Vari

Coppell (TX)

On-site

USD 140,000 - 180,000

Full time

6 days ago
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Benefits offered by this job

401k and profit-sharing
Wellness program
Mentoring and career development
Team building events
PTO

Job summary

Vari is building a modern cloud platform in Azure to support internal apps and AI agents. You will own compute, networking, data services, deployment, and security foundations, driving reliability and scale while embracing AI-native tooling and responsible automation.

You’ll collaborate with technology leadership and security teams to design and safeguard production changes, using Infrastructure-as-Code and automated workflows to reduce toil and error.

Qualifications

  • 5+ years in cloud infrastructure, platform, or DevOps engineering.
  • Deep hands-on Azure experience with serverless and containers.
  • Experience establishing CI/CD and infrastructure-as-code.
  • Strong security and identity management familiarity.
  • Ability to operate with high autonomy on a lean team.

Responsibilities

  • Own the cloud platform for internal apps and agents.
  • Establish deployment pipelines and observability for rapid, reliable shipping.
  • Design for reliability and scale as the portfolio grows.
  • Provide guardrails for security, identity, and automation changes.
  • Advise on IaC adoption (Bicep or Terraform) and configuration.

Skills

Azure
Cloud engineering
DevOps
CI/CD
Infrastructure as code
Python/PowerShell
AI-native mindset

Tools

Azure Functions
Container Apps
AKS
Azure Key Vault
Azure Monitor
Site24x7

Job description

Vari is building a modern cloud platform in Azure to support internal apps and AI agents. You will own compute, networking, data services, deployment, and security foundations, driving reliability and scale while embracing AI-native tooling and responsible automation.

You’ll collaborate with technology leadership and security teams to design and safeguard production changes, using Infrastructure-as-Code and automated workflows to reduce toil and error.

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