Azure Could Platform Infrastructure Engineer
12 + 12 + 12-month contractwith a key Commonwealth Government agency
Negative Vetting 1 Security Clearance eligibility required
Shape enterprise-grade Azure infrastructure for data & analytics
Versatile work arrangements with a major Commonwealth agency
Are you an experiencedSenior Azure Cloud Platform Engineerlooking to design and automate enterprise‐scale cloud infrastructure supporting data, analytics and AI?
Resolve Recruit is partnering with a leading Commonwealth Government agency to find experienced Azure engineers with strong capability acrossAzure, Terraform, Azure DevOps and data and analytics platforms.
In this role, you will be responsible for the detailed design, development and implementation of Azure infrastructure supporting data and analytics workloads.
Working within a multidisciplinary team, you will use a Terraform‐based Infrastructure as Code model to deliver secure, scalable and reliable cloud platforms.
Key Responsibilities
Design, develop and implement Azure infrastructurein support of data and analytics workloads.
Manage Azure hosted data and analytics platforms such asAzure Databricks, Azure Data Factory, Azure Web Apps and Logic Apps.
Apply Azure security featuresincluding networking, identity and access management,
and policy.
Deliver infrastructure as code using Terraformand manageAzure DevOps CI/CD pipelines.
Collaborate with stakeholdersto gather requirements and design and implement advanced analytics and AI solutions.
Deliver and/or administer Databricks, Microsoft Fabricor other analytical services.
Experience & Skills
Experience designing, building and maintainingcloud hosted platforms and services (Infrastructure, Platform and Software as a Service).
Experience developing, implementing and supportingcloud infrastructure using an infrastructure as code (IaC) approach.
Understanding ofcloud security features for platforms and servicessuch asidentity and access management, networking and policy.
Experience working on data and analytics focused projects, includingdata engineering, storage or data science.
Experience working withmulti-disciplinary teams using an Agile methodology.
Desirable: experience in Machine Learning Operations (MLOps), Large Language Model Operations (LLMOps), data lake or geospatial platforms.
Apply byFriday, 4 September ****.
Applications received after the deadline may still be considered for future opportunities.
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