Job Description
Azure Could Platform Infrastructure Engineer
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12 + 12 + 12-month contract with a key Commonwealth Government agency
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Negative Vetting 1 Security Clearance eligibility required
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Shape enterprise-grade Azure infrastructure for data & analytics
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Flexible work arrangements with a major Commonwealth agency
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Are you an experienced Senior Azure Cloud Platform Engineer looking 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 robust capability across Azure, Terraform, Azure DevOps and data and analytics platforms.
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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.
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Key Responsibilities
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Design, develop and implement Azure infrastructure in support of data and analytics workloads.
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Manage Azure hosted data and analytics platforms such as Azure Databricks, Azure Data Factory, Azure Web Apps and Logic Apps.
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Apply Azure security features including networking,
identity and access management, and policy.
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Deliver infrastructure as code using Terraform and manage Azure DevOps CI/CD pipelines.
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Collaborate with stakeholders to gather requirements and design and implement advanced analytics and AI solutions.
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Deliver and/or administer Databricks, Microsoft Fabric or other analytical services.
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Experience & Skills
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Experience designing, building and maintaining cloud hosted platforms and services (Infrastructure, Platform and Software as a Service).
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Experience developing, implementing and supporting cloud infrastructure using an infrastructure as code (IaC) approach.
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Understanding of cloud security features for platforms and services such as identity and access management, networking and policy.
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Experience working on data and analytics focused projects, including data engineering, storage or data science.
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Experience working with multi-disciplinary teams using an Agile methodology.
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Desirable: experience in Machine Learning Operations (MLOps), Large Language Model Operations (LLMOps), data lake or geospatial platforms.
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Apply by Friday, 4 September ****. Applications received after the deadline may still be considered for future opportunities.
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