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.
Remote Azure Engineer Jobs (258)
Search = Azure Engineer
Support a mission-critical application maintained in Azure and collaborate with architects to maintain Microsoft Azure solutions. Develop automation solutions for provisioning and cost control while writing IaC and CI/CD pipelines.
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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31 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.
The Azure Engineer is responsible for designing, deploying, and managing secure and scalable cloud infrastructure within the Microsoft Azure ecosystem. Key duties include automating deployments via Infrastructure as Code and ensuring high system availability through disaster recovery strategies.
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Lead the end-to-end lifecycle of backend and frontend components to design and evolve scalable web platforms and microservices architectures. Collaborate with stakeholders and DevOps engineers to ensure high availability, security, and performance of cloud solutions.
Develop Python-based solutions and enhance Azure cloud capabilities for a leading banking client. Ensure high standards of functionality, security, and end-user experience while implementing serverless microservices.
The role involves designing and implementing hyperscale distributed storage solutions, specifically focusing on index management and garbage collection. Responsibilities include collaborating with stakeholders on requirements, developing design documents, and acting as a Designated Responsible Individual (DRI) for system stability.
The role involves designing and implementing hyperscale distributed storage solutions, specifically focusing on index management and garbage collection. Responsibilities include collaborating with stakeholders on requirements, developing design documents, and acting as a Designated Responsible Individual (DRI) for system monitoring.
Design and implement scalable data pipelines using Azure Databricks, Airflow, and PySpark while ensuring data quality and reliability. Create interactive Power BI dashboards to translate complex data into actionable business insights.
Data Engineer (Azure) - Remote, Latin America
Bluelight Consulting
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Full Time
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5 Days Ago
Bluelight Consulting
Design, develop, and maintain ETL data integration processes using Python and Azure Synapse Analytics to ensure data accuracy. Collaborate with cross-functional teams to build scalable data storage structures and optimize performance to meet SLAs.
Design, build, and maintain scalable data pipelines and processing solutions using Azure Synapse Analytics. Collaborate with UK-based stakeholders to translate business requirements into high-quality technical data architectures.
Design, maintain, and improve Microsoft Azure infrastructure, including networking, security, and endpoint management. Support daily operations and collaborate with technical and business teams to translate needs into technical solutions.
Deliver end-to-end Azure cloud solutions including assessments, migrations, and modernization initiatives for clients. Partner with architects to implement secure, scalable environments and support the transition to managed services.
Design, debug, and ship new features for the Azure Storage front end to enhance service quality and scalability. Collaborate with stakeholders to determine user requirements and act as a Designated Responsible Individual (DRI) for system monitoring and restoration.
Architect, implement, and maintain scalable and secure Azure-based cloud infrastructures for a diverse client portfolio. Lead cloud migrations, automate deployments using IaC, and optimize resource performance and cost-effectiveness.
Senior I O Engineer - Azure Cloud Ops and Linux
UnitedHealth Group
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Full Time
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1 Week Ago
UnitedHealth Group
Design and implement cloud infrastructure solutions while managing the installation and configuration of application components. Ensure system performance, security compliance, and disaster recovery readiness for server and application environments.
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Design and implement protocols for data durability, availability, and performance of backend distributed block storage. Collaborate with stakeholders to define requirements and lead the development of design documents and high-performance code.
Lead the implementation, operation, and reliability of Microsoft Azure cloud infrastructure and platform services. Drive automation through Infrastructure as Code and mentor junior engineers to improve overall platform quality and security.
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 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 multiple 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 maintaining and evolving existing 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 multiple 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 evolving existing SQL Server environments toward scalable cloud architectures.
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