Senior Azure Cloud Platform Infrastructure Engineer

10Pc — Australia · Posted ~1 day ago

Senior Contract Hybrid

Skills

Microsoft Azure Cloud platform infrastructure Infrastructure engineering

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Summary ✨ AI‑Generated

A senior cloud infrastructure engineering role focused on designing, supporting and improving Azure platform environments. The engagement starts with a 12-month contract and may be extended, with a hybrid working model and regular office attendance expected.

Highlights

A senior-level infrastructure engineering engagement with a 12-month initial contract and potential extension options. The role offers hybrid working arrangements in a professional government environment and focuses on Azure cloud platform infrastructure.

Description

Senior Azure Could Platform Infrastructure Engineers RFQ typeDMP2: ICT Labour HireRFQ IDLH-07506RFQ published dateWednesday, 19 August 2026Deadline for asking questionsThursday, 03 September 2026 • 11:59pm, Canberra timeRFQ closing dateMonday, 07 September 2026 • 11:59pm, Canberra timeBuyerDepartment of Agriculture, Fisheries and ForestryBuyer contactNo contact details reported. Please direct questions through the 'Question and Answers' portion of the RFQ process.Estimated start dateMonday, 19 October 2026Initial contract duration12 MonthsExtension termOtherExtension term details2 extension options up to 12 months eachNumber of extensionsBuyer has not provided these detailsMaximum number of candidates per seller2Experience levelSenior - EL1 equivalentLocation of workACTWorking arrangementsHybridMost of the section is located at Agriculture House in Canberra CBD. Our standard expectation is for staff to attend the office at least three (3) working days each week. The section is supportive of flexible arrangements and consideration will be made to accommodate individual and collaboration needs. In-person attendance at important Agile ceremonies (currently held quarterly) and other important team / section events is a requirement.Maximum hours40 hours per weekSecurity clearanceMust be able to obtain Negative Vetting Level 1Job details The Enterprise Analytics and Technology Services (EATS) section in the Department of Agriculture, Fisheries and Forestry (DAFF) are looking for an Azure Could Platform Engineer who has experience in managing cloud hosted infrastructure using infrastructure as code in support of data and analytics workloads. Key duties and responsibilities 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: Azure CloudAzure hosted Data and Analytics Platforms such asAzure DatabricksAzure Data FactoryAzure Web AppsLogic AppsAzure security features such asNetworkingIdentity and Access ManagementPolicyInfrastructure as CodeTerraform based infrastructure managementAzure DevOps CI/CD PipelinesCollaboration with stakeholders to gather requirements to design and implement Advanced Analytics and AI solutions.Experience in delivery and/or administration of Databricks, Microsoft Fabric or other analytical services.DesirableExperience in Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps).Delivery and or administration experience with traditional data technology solutionsCriteria The buyer has specified that each candidate must provide a one page pitch to address all criteria specified. This is equal to 5000 characters. Essential criteria Weighting 1.Experience designing, building and maintaining cloud hosted platforms and services (Infrastructure, Platform and Software as a Service)Weighting:25%2.Experience developing, implementing, and supporting cloud infrastructure using an infrastructure as code (IaC) approachWeighting:25%3.Understanding of cloud security features for platforms and services such as Identity and Access Management, Networking and PolicyWeighting:20%4.Experience working in Data and Analytics focused projects (Data Engineering, Storage or Data Science)Weighting:15%5.Working with multi-disciplinary teams using an Agile methodologyWeighting:15%Desirable criteria 1.Experience work with Data Lake2.Experience working with Geospatial platforms