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What you will be doing: managing deployment automation of Azure PaaS/SaaS services within the context of a Big Data & Analytics platform carrying out automation of configuration validation and re-establishment to comply with IT security requirements and ensure platform stability implementing end-to-end solution automation for the complete Machine Learning (ML) lifecycle conducting root cause analysis of complex issues reported by the support team Skills and experience you will need fluency in English 3+ years of experience as a Cloud DevOps Engineer or Cloud Engineer experience in Infrastructure as Code (IaC) development using PowerShell / ARM Templates, Azure DevOps (Build Pipelines, Release Pipelines), Ansible, and Azure Policies proficient in multiple Azure technologies, including Azure Data Factory, Azure Kubernetes Services, Azure Databricks, Azure Event Hub, Azure SQL Server, Azure Data Lake Store, Azure Blob Storage, Power BI, Azure Search, Azure Cosmos DB, Azure DSVM (Windows & Linux), and Azure ML, specifically concerning deployment and configuration knowledge of Robust Azure networking, including VNets, Hub & Spoke architectures, and connectivity between Azure and on-premises good understanding of Azure AD, Azure Active Directory Domain Services, and integration of various Azure technologies following IT security requirements high level of commitment and flexibility regarding task assignment, coupled with a willingness to tackle a variety of complex tasks Nice to have experience in Terraform proficient skills in Databricks and Dataiku Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard.