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Microsoft, when the world moved to the cloud, didn't want to be left holding the on-premise bag. Thus emerged Azure, a platform promising to deliver everything-as-a-service with the comforting familiarity of Windows Server underneath. It aimed to be the enterprise’s easy transition, a way to lift-and-shift workloads without retraining entire departments. The reality, of course, is a bit messier. Azure is powerful, undeniably, but navigating its vast ecosystem can feel like exploring a Byzantine bureaucracy.
It’s essentially Amazon Web Services, but with a distinctly Microsoft flavor – meaning more integration with existing Microsoft products, and a pricing structure that requires a PhD in economics to decipher. While AWS still dominates, Azure has carved out a strong niche with enterprises already deeply invested in the Microsoft stack. Today, it's a mature platform, powering everything from simple websites to complex AI applications, and constantly battling AWS and Google Cloud for cloud supremacy – a battle fought largely in PowerPoint presentations and quarterly earnings reports.
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Jobs in using Microsoft Azure for but please no
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data scientist
Principal Product Manager - Dynamics 365 Contact Center @ microsoft
AU | 2025-12-27
Microsoft seeks a Principal Product Manager for generative AI-driven contact centers, aiming to transform AI technologies into production solutions. The role's differentiator is embedding deeply...
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AI/ML, GenAI, Microsoft, Management, Computer Science, Cloud Computing, Python, JavaScript, Azure, LLM | ||
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data scientist
Senior Azure Cloud Customer Experience Engineer @ microsoft
AU | 2025-12-26
Microsoft seeks a customer-obsessed advanced cloud engineer to resolve complex Azure issues, support key projects, and serve as the voice of the customer. The role's differentiator is its emphasis...
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Microsoft, Cloud Computing, Azure, Management, Computer Science, Data Analytics, AI/ML, Linux, Kubernetes, Big Data, SQL, Cosmos, PostgreSQL, Databricks, ADF, Redis, Analytics, Grafana, Datadog | ||
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promoted
O'Reilly Power BI LearningMaster Power BI fast: build basic-to-advanced visuals, apply smart design, use dynamic slicers/filters & new cards, choose the right chart, spotlight key insights, brand and theme reports, and seamlessly publish/share in the Service. |
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data scientist
Insight & Data Delivery Lead @ capgemini
AU | 2025-12-26
The Delivery Executive leads data and AI program implementation at Capgemini, acting as a nexus between business needs and technological solutions. With a focus on project outcomes and client...
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AI/ML, Management, Analytics, Data Quality, CDP, Master Data Management, Azure, AWS, GCP, Agile/Scrum | ||
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data scientist
Azure Advanced Cloud Engineer 2 - Japanese Speaking @ microsoft
AU | 2025-12-24
The role involves supporting Azure customers by troubleshooting complex technical issues, acting as the voice of the customer, and coordinating with product teams. A key differentiator is the...
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Microsoft, Cloud Computing, Azure, Management, Computer Science, Data Analytics, AI/ML, Linux, Kubernetes, Big Data, SQL, Cosmos, PostgreSQL, Databricks, ADF, Redis, Analytics, Grafana, Datadog | ||
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data scientist
Senior Azure Cloud Customer Experience Engineer @ microsoft
AU | 2025-12-24
This role involves providing technical support to Azure customers by troubleshooting issues, analyzing incident trends, and acting as a bridge between customer feedback and product teams. A unique...
read more »
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Microsoft, Cloud Computing, Azure, Management, Computer Science, Data Analytics, AI/ML, Linux, Kubernetes, Big Data, SQL, Cosmos, PostgreSQL, Databricks, ADF, Redis, Analytics, Grafana, Datadog |