Cloud Engineer – Azure, AI Platforms

Jobtailor

Adelaide

On-site

AUD 90,000 - 130,000

Full time

5 days ago

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Job summary

Jobtailor is hiring for a cloud engineer to design, deploy and support secure Azure cloud environments in Adelaide, Australia. You will automate provisioning and operations using IaC, drive cloud transformation initiatives and troubleshoot complex issues across platforms.

You will collaborate with architects and customers, ensuring governance, security and best-practices while enabling AI-enabled cloud services. Strong scripting and DevOps experience are essential.

Qualifications

Proven experience in cloud engineering, cloud operations, platform engineering or infrastructure engineering roles.
Strong hands-on experience with Microsoft Azure and modern cloud operating environments.
Experience deploying, managing and supporting cloud infrastructure, networking, identity and security services.
Experience with Infrastructure as Code and cloud automation practices.
Experience with PowerShell, Python, C#, JavaScript or similar scripting/programming languages.
Understanding of CI/CD practices, DevOps methodologies and cloud-native ways of working.
Experience troubleshooting and resolving complex technical issues across cloud environments.
Strong understanding of cloud security, governance and operational best practices.
Excellent communication, analytical and problem-solving skills.
Experience in managed services, consulting or customer-facing technology environments.
Foundational knowledge of AI services and modern AI concepts.
Understanding of Azure OpenAI, Azure AI Foundry, Azure AI Search or equivalent platforms.
Awareness of retrieval-augmented generation, large language models and AI-driven automation concepts.
Understanding of responsible AI, security and governance considerations.
Interest in developing expertise in AI platform engineering, agentic workflows and AI-enabled cloud services.
Microsoft Azure Certification is desirable

Responsibilities

Design, deploy and support secure, scalable and operationally efficient Azure cloud environments.
Automate cloud platform provisioning, configuration and operational processes using Infrastructure as Code and modern automation tools.
Support customers’ cloud transformation, migration and modernisation initiatives.
Monitor, troubleshoot and resolve cloud platform issues.
Develop and improve automation capabilities across cloud operations and platform delivery.
Build and maintain cloud platform documentation, operational procedures and knowledge-sharing resources.
Collaborate with architects, engineers and customer stakeholders to deliver reliable cloud solutions.
Contribute to Azure governance, security, compliance and operational best practices.
Support adoption of AI-ready cloud platforms and deployment of AI-related services and capabilities.

Skills

Cloud engineering

Cloud operations

Platform engineering

Scripting languages

CI/CD practices

Troubleshooting

Cloud infrastructure management

Networking services

Identity services

Security services

Communication

Analytical skills

Problem-solving

AI services awareness

Education

Relevant tertiary qualification in Information Technology, Engineering, Computer Science or related discipline (desirable)

Tools

Azure OpenAI

Azure AI Foundry

Azure AI Search

Automation tools

Cloud automation practices

Job description

Design, deploy and support secure, scalable and operationally efficient Azure cloud environments
Automate cloud platform provisioning, configuration and operational processes using Infrastructure as Code and modern automation tools
Support customers’ cloud transformation, migration and modernisation initiatives
Monitor, troubleshoot and resolve cloud platform issues
Develop and improve automation capabilities across cloud operations and platform delivery
Build and maintain cloud platform documentation, operational procedures and knowledge-sharing resources
Collaborate with architects, engineers and customer stakeholders to deliver reliable cloud solutions
Contribute to Azure governance, security, compliance and operational best practices
Support adoption of AI-ready cloud platforms and deployment of AI-related services and capabilities

Requirements

Proven experience in cloud engineering, cloud operations, platform engineering or infrastructure engineering roles
Strong hands-on experience with Microsoft Azure and modern cloud operating environments
Experience deploying, managing and supporting cloud infrastructure, networking, identity and security services
Experience with Infrastructure as Code and cloud automation practices
Experience with PowerShell, Python, C#, JavaScript or similar scripting/programming languages
Understanding of CI/CD practices, DevOps methodologies and cloud-native ways of working
Experience troubleshooting and resolving complex technical issues across cloud environments
Strong understanding of cloud security, governance and operational best practices
Excellent communication, analytical and problem-solving skills
Experience in managed services, consulting or customer-facing technology environments
Foundational knowledge of AI services and modern AI concepts
Understanding of Azure OpenAI, Azure AI Foundry, Azure AI Search or equivalent platforms
Awareness of retrieval-augmented generation, large language models and AI-driven automation concepts
Understanding of responsible AI, security and governance considerations
Interest in developing expertise in AI platform engineering, agentic workflows and AI-enabled cloud services
Relevant tertiary qualification in Information Technology, Engineering, Computer Science or a related discipline is desirable
Microsoft Azure or equivalent cloud certifications are desirable

Demonstrates expertise in designing, deploying, and supporting secure Azure cloud environments while automating processes using Infrastructure as Code. Proficient in cloud security, governance, and operational best practices, with strong communication and problem-solving skills.

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