Design and implement secure Azure cloud infrastructure focusing on platform services, networking, and security. Manage infrastructure as code and monitor system performance to troubleshoot API, storage, and network incidents.
Remote Azure Engineer Jobs (283)
Search = Azure Engineer
Build and maintain Azure DevOps pipelines and infrastructure as code using ARM and Bicep to ensure scalable deployments. Optimize cloud costs and security while partnering with cross-functional teams to improve engineering efficiency.
The Azure Engineer is responsible for designing, implementing, and managing cloud solutions across IaaS, PaaS, and SaaS to ensure optimal performance and security. Key tasks include deploying Azure infrastructure, managing secure network solutions, and utilizing CI/CD pipelines for automation.
Azure Engineer
Hancock Claims Consultants Technicians
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Full Time
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34 Weeks Ago
Hancock Claims Consultants Technicians
The Azure Engineer will design, implement, and support Azure networking solutions, spending 30% of their time on architecture and 70% on implementation. They will also optimize network architecture and provide recommendations for performance, security, and scalability improvements.
Senior Azure DevOps Engineer | Azure | Kubernetes | CI/CD
Talycap Global
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Full Time
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17 hours ago
Talycap Global
Responsible for designing, building, and maintaining CI/CD pipelines and managing cloud infrastructure on Azure. This includes provisioning AKS clusters, implementing Helm deployments, and optimizing platform performance and availability.
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Lead the design and implementation of robust data platforms using Azure and Microsoft Fabric, focusing on scalable data models and ETL pipelines. Mentor junior engineers and collaborate with cross-functional teams to integrate GenAI capabilities into data products.
Lead the design and implementation of robust data platforms using Azure and Microsoft Fabric, focusing on scalable data models and ETL pipelines. Oversee end-to-end analytics projects, mentor junior engineers, and integrate GenAI capabilities into data products.
Lead the design and implementation of scalable data platforms and ETL pipelines using the Azure data ecosystem and Microsoft Fabric. Mentor junior engineers and collaborate with cross-functional teams to align data strategy with business goals and AI integration.
Design, build, and maintain Azure IaaS and PaaS infrastructure using Terraform. Manage global applications and subscriptions while resolving incidents via ServiceNow to meet SLAs.
Design, debug, and ship new features for the Azure Storage front end to enhance service quality and performance. Collaborate with stakeholders to define requirements and act as a Designated Responsible Individual (DRI) to ensure system availability.
The role involves designing and implementing scalable distributed storage solutions, specifically focusing on index management and garbage collection. Responsibilities include collaborating with stakeholders on requirements, optimizing code for performance, and acting as a Designated Responsible Individual for system monitoring.
Design and maintain scalable data pipelines and architectures using the Azure Data Analytics Platform. Lead and mentor teams of data engineers to transform raw data into actionable business insights.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while evolving existing SQL Server environments into scalable cloud-based architectures.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
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Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while maintaining and evolving SQL Server-based data warehouse environments.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while maintaining and evolving SQL Server-based data warehouse environments.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while maintaining and evolving SQL Server-based data warehouse environments.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
Design, develop, and maintain modern data pipelines and Lakehouse architectures using Azure Databricks and Azure Data Factory. Integrate diverse data sources into analytical layers while supporting existing SQL Server data platforms and BI reporting.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while maintaining and evolving SQL Server-based data warehouse environments.
New "Azure Engineer" jobs delivered to your inbox
We'll notify you when new positions matching this search are posted
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
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