Azure Cloud Engineer

Talent; Canberra; Hybrid; AUD 150,000 - 190,000; Full time

Job summary

Talent in Canberra, ACT is seeking a Senior Azure Cloud Platform Infrastructure Engineer to design, implement and maintain Azure infrastructure for data and analytics workloads. The role emphasizes IaC with Terraform, Azure DevOps pipelines, and secure cloud practices within an NV1-ready environment.

You will collaborate with multidisciplinary teams and support Databricks, Microsoft Fabric and other analytics services in an Agile setting.

Qualifications

• Strong experience designing, building and maintaining cloud-hosted IaaS, PaaS and SaaS platforms and services.
• Developing and supporting cloud infra using an Infrastructure as Code approach.
• Hands-on Azure and Terraform experience with security practices.
• Experience delivering data and analytics projects in multidisciplinary teams.

Responsibilities

• Design, build and maintain Azure-hosted infrastructure supporting data and analytics workloads.
• Develop and implement cloud infrastructure using Terraform-based IaC.
• Build and support Azure DevOps CI/CD pipelines for infrastructure deployment.
• Work across Azure data and analytics services including Azure Databricks, Azure Data Factory, Azure Web Apps and Logic Apps.
• Apply Azure security controls across networking, IAM and policy.
• Collaborate with stakeholders to gather requirements and design advanced analytics and AI solutions.
• Support the delivery and administration of Databricks, Microsoft Fabric and other analytical services.
• Work in multidisciplinary Agile teams to deliver solutions.

Skills

Azure Cloud

Terraform

Azure DevOps

CI/CD

Cloud security

IAM

Agile

Data & Analytics

Databricks

Microsoft Fabric

NV1 clearance readiness

Tools

Azure

Terraform

Databricks

Microsoft Fabric

Azure Data Factory

Web Apps

Logic Apps

Job description

Job Description

• Canberra, ACT | Hybrid working arrangements
• 12-month contract | 2 x extension options
• Security clearance: NV1 clearance required

Position Overview

An opportunity is available for Senior Azure Cloud Platform Infrastructure Engineers to deliver cloud infrastructure supporting enterprise data, analytics and advanced technology workloads within a large Australian Government environment.

Working as part of a multidisciplinary team, you will take responsibility for the detailed solution design, development and implementation of Azure infrastructure, with a strong focus on Infrastructure as Code using Terraform. The role will suit an experienced Azure engineer who can combine hands‑on cloud engineering with strong security practices and collaborate effectively with stakeholders to deliver scalable data and analytics solutions.

Key Duties

• Design, build and maintain Azure-hosted infrastructure supporting data and analytics workloads.
• Develop and implement cloud infrastructure using Terraform-based Infrastructure as Code (IaC).
• Build and support Azure DevOps CI/CD pipelines for infrastructure deployment.
• Work across Azure data and analytics services including Azure Databricks, Azure Data Factory, Azure Web Apps and Logic Apps.
• Apply Azure security controls across networking, Identity and Access Management (IAM) and policy.
• Collaborate with stakeholders to gather requirements and design and implement advanced analytics and AI solutions.
• Support the delivery and administration of Databricks, Microsoft Fabric and other analytical services.
• Work collaboratively within multidisciplinary teams using Agile delivery methodologies.

Skills And Experience Required

• Strong experience designing, building and maintaining cloud-hosted IaaS, PaaS and SaaS platforms and services.
• Demonstrated experience developing, implementing and supporting cloud infrastructure using an Infrastructure as Code approach.
• Strong hands‑on experience with Microsoft Azure and Terraform.
• Experience with Azure DevOps and CI/CD pipelines.
• Sound understanding of cloud security, particularly IAM, networking and policy.
• Experience delivering projects within data and analytics environments, including data engineering, storage or data science.
• Experience working effectively in multidisciplinary Agile teams.
• Experience delivering or administering Databricks, Microsoft Fabric or similar analytical services.
• Ability to obtain a Negative Vetting Level 1 (NV1) security clearance.

Desirable Experience Includes

• Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps).
• Traditional data technology solutions.
• Data Lake environments.
• Geospatial platforms.