Lead Cloud Infrastructure Architect / Engineer (Azure, DevOps, Kubernetes, Terraform)
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Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.
Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.
Within Microsoft Fabric, the Data Integration team enables organizations to connect, move, and shape data across their entire data estate. As data is generated across applications, devices, and systems, our integration capabilities make it easy to ingest, transform, and prepare data for downstream use. Fabric’s unified integration experience simplifies how customers bring data together, ensuring it is trusted, usable, and ready to power analytics, real-time insights, and AI scenarios.
The Fabric Data Integration team is currently seeking DevOps Engineer – Azure/Fabric with expertise in Azure DevOps, CI/CD, PowerShell/Python, infrastructure automation, Git, Azure deployment technologies, monitoring, and troubleshooting. The role will focus on automating ADF and Microsoft Fabric region/cloud buildouts, building scalable deployment pipelines, improving operational reliability, and driving zero-touch automation. Experience with Azure Data Factory, Microsoft Fabric, Airflow, ARM/Bicep, networking, identity, and multi-region cloud deployments is preferred.
Key Responsibilities
Required/Minimum Qualifications
Other Requirements
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:
○ This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Job Requirements: Other & Additional
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred/Additional Qualifications
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
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#azdat #azuredata #microsoftfabric #dataintegration
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Microsoft builds Windows, Azure, Office and the Copilot family of AI assistants, and operates one of the largest AI training and inference fleets in the world. Microsoft Research and the AI platform teams work across foundation models, systems for large-scale training, and applied ML in every product line.
Founded in 1975 and headquartered in Redmond, Washington, the company is also OpenAI's principal compute partner and ships AI tooling for developers through GitHub, VS Code and Azure AI.
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