Remote Azure Engineer Jobs in United States
79 Azure Engineer jobs in United States available for remote work from home. Apply for positions such as Azure Engineer, Staff Data Engineer (Azure Databricks Platform), Principal Software Engineer - Azure Blob Storage and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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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.
Lead the architecture, operation, security, and strategic evolution of the Azure Databricks platform, including monitoring, incident response, governance, performance, and cost optimization. Automate platform provisioning and deployment, enable and mentor data engineering teams, collaborate across technical and business groups, and direct the work of two platform engineers.
Design and deliver next-generation distributed storage systems optimized for AI and machine learning workloads at hyperscale. Provide technical leadership across architecture, development, and deployment while collaborating with cross-functional teams to drive innovation.
The Senior Azure Engineer will lead the design, implementation, and evolution of enterprise cloud platforms while defining architecture patterns and automation strategies. They are responsible for providing technical leadership, mentoring team members, and ensuring the availability and security of cloud infrastructure through 24/7 support.
The Senior Azure Engineer will own the end-to-end cloud engineering lifecycle, including architecture, infrastructure-as-code, and automation. They will also partner with development and security teams to ensure operational excellence and scalability for production workloads.
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Define and drive the long-term technical strategy and architecture for Azure Storage Geo Replication. Lead cross-organizational efforts to enhance service reliability, operational excellence, and AI-assisted engineering practices.
Design and maintain Infrastructure-as-Code modules and deployment pipelines for Azure enterprise data environments. Implement secure multi-cloud networking and manage platform services including Kubernetes, storage, and identity access controls.
The Data Engineer will design and implement scalable data platforms using Microsoft Fabric and Databricks to support analytics and BI initiatives. They will collaborate with client stakeholders to translate business requirements into technical solutions while ensuring data quality and performance.
The engineer will build, automate, and operate Azure cloud infrastructure, specifically focusing on MCP connectivity and Microsoft Foundry model access. Responsibilities include configuring APIM gateways, managing secure networking, and ensuring high availability through robust CI/CD and monitoring practices.
You will lead the design and implementation of systems to make Phaidra’s platform capabilities available on Azure. This involves building reusable platform components, establishing deployment workflows, and ensuring reliability, security, and observability across Azure environments.
The role involves leading architectural design and development for next-generation cloud infrastructure while applying AI-enabled engineering practices. You will drive cross-team collaboration to ensure high-quality, secure, and performant code across the software development lifecycle.
You will manage and optimize continuous integration and delivery processes while automating release workflows. Additionally, you will support development environments in Azure and provide technical consultation to internal and external customers.
The engineer will deploy, configure, and maintain secure cloud environments while implementing Infrastructure-as-Code automation. They will also provide technical support, monitor system performance, and ensure high availability for cloud-based infrastructure.
Design, build, and maintain secure, scalable Microsoft Azure infrastructure to support cloud, data, and AI initiatives. Partner with cross-functional teams to implement automation, cloud migration, and security best practices.
The Engineering Systems Engineer serves as the technical owner of Azure DevOps, managing governance, configuration, and access models across the engineering organization. They also support broader platform tools including feature flags, database migration standards, and AI-assisted development tools.
The DevOps Engineer will configure and manage Azure-based infrastructure, including compute, storage, and networking services. They will also design and maintain CI/CD pipelines while collaborating with development teams to ensure application reliability and security.
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You will design, build, and operate secure, scalable Azure infrastructure and platform services while implementing foundational DevOps and Infrastructure-as-Code capabilities. The role involves collaborating with cross-functional teams to define reusable deployment patterns and operationalize Azure platform services.
The Infrastructure Engineer will improve the Virtual Desktop experience through automation, design, and the creation of repeatable deployment patterns. They will collaborate with engineering and operations teams to manage desktop virtualization roadmaps and transition knowledge to support staff.
Design, build, and maintain scalable data pipelines while leveraging tools like Azure Data Factory and Databricks. Lead and mentor engineering teams while collaborating with cross-functional stakeholders to deliver comprehensive data solutions.
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.
The Azure Cloud Engineer will design and operate Azure Kubernetes Service clusters at scale while managing cloud infrastructure. They are responsible for implementing CI/CD pipelines, monitoring strategies, and ensuring robust cloud security and compliance.
You will be responsible for designing, developing, and maintaining data solutions, including the creation of data pipelines and ETL processes. Additionally, you will provide technical guidance to junior team members and collaborate with cross-functional teams to ensure data quality.
The Cloud Engineer will design, deploy, and manage Azure cloud infrastructure while collaborating with the Cloud Center of Excellence to implement enterprise-wide solutions. They are responsible for automating infrastructure provisioning, ensuring system reliability, and supporting cloud governance and security initiatives.
Design, deploy, and operate secure, resilient, large-scale Azure cloud platforms, owning the lifecycle from architecture and infrastructure automation through security, cost optimization, monitoring, and ongoing operations. Partner with application development, security, and SRE teams to deliver scalable, reliable, compliant cloud-native solutions.
The role involves providing operational and engineering support for enterprise AI services and infrastructure within a secure federal cloud environment. You will collaborate with cross-functional teams to automate delivery, monitor performance, and maintain compliance for AI platform components.
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The Azure Cloud Engineer will manage, monitor, and secure the Azure cloud environment to ensure optimal performance and availability. They will also design and implement cloud-based solutions while automating tasks and providing technical support to internal teams.
The Azure Infrastructure Engineer will design, deploy, and maintain production Azure infrastructure while managing hybrid connectivity and migration execution. They will also implement automation, ensure system resiliency, and collaborate with cross-functional teams to maintain security and governance standards.
Design and build data and analytics solutions using Microsoft Azure and Microsoft Fabric. Develop data pipelines and integration processes while collaborating with project teams and clients to deliver effective business solutions.
Design, deploy, and operate secure, resilient Azure cloud platforms, owning the lifecycle from architecture and infrastructure automation through security, cost optimization, observability, and production operations. Partner with application development, security, and SRE teams to deliver scalable, reliable, compliant cloud-native solutions.
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