Senior Azure Cloud Platform Infrastructure Engineer

Indigitise Pty Ltd; Canberra; On-site; AUD 120,000 - 170,000; Full time

Job summary

Indigitise Pty Ltd is seeking an experienced professional to lead the design, development, and delivery of Azure-based data and analytics infrastructure. You will implement solutions using Terraform IaC and collaborate with stakeholders to shape advanced analytics and AI projects.

Experience with Databricks or Microsoft Fabric and familiarity with MLOps and LLM operations are required to drive successful deployments across platforms.

Qualifications

• Experience designing and delivering Azure-based data and analytics infrastructure.
• Proficiency with infrastructure as code using Terraform.
• Ability to collaborate with stakeholders to define requirements for AI/analytics solutions.
• Experience with Databricks or Microsoft Fabric and other analytics services.
• Knowledge of MLOps and large language model operations.

Responsibilities

• Design, develop, and implement Azure infrastructure for data and analytics workloads.
• Deliver infrastructure as code using Terraform across environments.
• Collaborate with stakeholders to capture requirements for Advanced Analytics and AI solutions.
• Evaluate and integrate Databricks, Microsoft Fabric, or equivalent analytics services.
• Support MLOps and LLM operations in deployment pipelines.

Skills

Azure Data & Analytics

Logic Apps

Networking

IAM

Policy

Data analytics

MLOps

LLM Operations

Tools

Terraform

Databricks

Microsoft Fabric

Job description

The roles will be responsible for the detailed solution design, development, and implementation of infrastructure in Azure in support of data and analytics workloads. These outcomes are delivered using an infrastructure as code deployment model using Terraform and the successful candidate with require experience with the following platforms and technology:

• 1. Azure hosted Data and Analytics Platforms such as
• 4. Logic Apps
• 2. Azure security features such as
• 1. Networking
• 2. Identity and Access Management
• 3. Policy
• 2. Infrastructure as Code
• 1. Terraform based infrastructure management
• 3. Collaboration with stakeholders to gather requirements to design and implement Advanced Analytics and AI solutions.
• 4. Experience in delivery and/or administration of Databricks, Microsoft Fabric or other analytical services.
• Experience in Machine Learning Operations (MLOps) and Large Language Model Operations