Azure Platform Engineer (Data & Analytics)

Australian Citizens with baseline clearance. able to obtain Negative Vetting Level 1.

Essential criteria:

1. Experience designing, building and maintaining cloud hosted platforms and services (Infrastructure, Platform, and Software as a Service)- 25%

2. Experience developing, implementing, and supporting cloud infrastructure using an infrastructure as code (IaC) approach- 25%

3. Understanding of cloud security features for platforms and services such as Identity and Access Management, Networking and Policy- 20%

4. Experience working in Data and Analytics focused projects (Data Engineering, Data Science, or AI)- 15%

5. Working with multi-disciplinary teams using an Agile methodology- 15%

Desirable criteria:

1. Experience work with MLOps or LLMOps

2. Experience working with Azure AI Services

3. Experience with administration and enablement of Azure Databricks, Azure Machine Learning or Microsoft Fabric

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