Azure Cloud Engineer - Automate, Scale & Secure Infrastructure

Inlogik

Melbourne

On-site

AUD 120,000 - 160,000

Full time

8 days ago

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Benefits offered by this job

Health and Wellness
Novated lease
Flexible work
Additional leave
Social activities
Professional development

Job summary

Inlogik is seeking an experienced Azure Cloud Engineer in Melbourne to build and maintain our Azure infrastructure and automation. You will collaborate with development, QA, security and product teams to deliver reliable cloud solutions that align with business goals.

The role focuses on migration, monitoring, and automation, with emphasis on security and compliance, and a strong emphasis on performance optimization and reliability.

Qualifications

  • Experience with Azure cloud engineering and migration to cloud.
  • Experience in monitoring cloud environments and performance optimization.
  • Familiarity with Terraform, Bicep, CI/CD pipelines, Kubernetes, and scripting (PowerShell).
  • Knowledge of security and compliance standards for cloud platforms.
  • Experience with SQL Server and web service networking and storage.

Responsibilities

  • Migrate applications and infrastructure to Azure.
  • Manage, enhance and monitor Azure environments to maximize value.
  • Perform disaster recovery planning and platform automation.
  • Provide ongoing support for hosted applications and infrastructure.
  • Collaborate with Development, QA, Security and Product teams.

Skills

Azure
CI/CD tools
Kubernetes
Terraform
Bicep
PowerShell
C#
.Net
Security and compliance
SQL Server
IaC
Web services networking & storage
Team City

Job description

Inlogik is seeking an experienced Azure Cloud Engineer in Melbourne to build and maintain our Azure infrastructure and automation. You will collaborate with development, QA, security and product teams to deliver reliable cloud solutions that align with business goals.

The role focuses on migration, monitoring, and automation, with emphasis on security and compliance, and a strong emphasis on performance optimization and reliability.

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