Azure Platform Engineer (data and 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

Data Science Machine Learning Features Analytics Infrastructure Networking Security Administration Software Engineering Science Management