Cloud Engineer

Talent; Canberra; Hybrid; AUD 140,000 - 180,000; Full time

Job summary

Talent is seeking a Senior Azure Cloud Platform Infrastructure Engineer to deliver cloud infrastructure for enterprise data workloads in a large Australian Government environment. You will design and implement Azure infrastructure with IaC (Terraform) and manage CI/CD pipelines using Azure DevOps.

Join a multidisciplinary team, delivering scalable data and analytics solutions while applying robust security controls and collaborating with stakeholders to meet requirements.

Qualifications

• Strong experience designing, building and maintaining cloud-hosted IaaS, PaaS and SaaS platforms and services.
• Experience with Infrastructure as Code (IaC) using Terraform.
• Hands-on Azure engineering with security-focused practices.

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 design and implement analytics and AI solutions.
• Support Databricks, Microsoft Fabric and other analytical services.

Skills

Azure

Terraform

CI/CD

Cloud security

IAM

Databricks

Azure DevOps

MLOps

LLMOps

Agile

NV1 clearance

Tools

Azure Data Factory

Azure Databricks

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.


• Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps).


• Traditional data technology solutions.


• Data Lake environments.


• Geospatial platforms.