Senior Cloud Engineer AZURE
The role is for a Senior Cloud Engineer specializing in Microsoft Azure, supporting an international client in the logistics sector. Specific day-to-day responsibilities are not provided.
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The role is for a Senior Cloud Engineer specializing in Microsoft Azure, supporting an international client in the logistics sector. Specific day-to-day responsibilities are not provided.
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 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.
Implement and optimize ETL/ELT processes for data acquisition, transformation, and sharing across various business areas. Collaborate with architects and stakeholders to build and maintain data workflows using Python, SQL, and Apache Spark.
You will be responsible for developing, maintaining, and optimizing cloud infrastructure on Microsoft Azure while managing CI/CD processes and containerized environments. Additionally, you will ensure platform stability, monitor performance, and collaborate with development teams to resolve issues in distributed systems.
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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.
The role involves designing, creating, and optimizing cloud data processing solutions and documentation in collaboration with a team. You will analyze client requirements to deliver optimal business solutions and manage potential technical risks.
You will be responsible for designing and building an Azure-based cloud environment as code while porting existing platform components from GCP. Additionally, you will support application teams during their migration and facilitate knowledge transfer through documentation and pairing.
The Senior Azure Cloud Engineer will lead the modernization of legacy .NET services into a cloud-native architecture using .NET 10 and Azure Kubernetes Service. The role involves conducting technical code reviews, managing infrastructure as code, and mentoring engineering teams to ensure high standards of quality and reliability.
The Azure DevOps Engineer will design, implement, and manage Azure cloud infrastructure using Infrastructure as Code while maintaining Linux-based systems. They will also develop and enhance CI/CD pipelines to ensure efficient application deployment and system performance.
Design and implement scalable data processing systems and pipelines on the Azure platform. Collaborate with cross-functional teams to optimize data storage, resolve performance bottlenecks, and ensure efficient data delivery.
You will design, implement, and operate secure, scalable Azure platform capabilities while building infrastructure using Terraform and GitOps processes. Additionally, you will mentor engineers, apply Generative AI to infrastructure tasks, and collaborate with technical teams to drive platform engineering practices.
Develop and maintain the Enterprise Data Warehouse and standard dashboards for a Global Business Intelligence Team. Provide data support for business self-service and data analysis activities.
Operate and improve the reliability, security, and cost efficiency of Azure-hosted SaaS products using Terraform and GitHub Actions. Manage AI service operations, monitoring, and incident response to ensure high availability of AI-enabled solutions.
Design and develop data pipelines and processing solutions using Azure Databricks and Python. Collaborate with business stakeholders to gather requirements and manage data products while ensuring data quality and security.
The role involves building and evolving backend services in .NET for a production SaaS platform while managing cloud-native infrastructure on Azure. You will also own end-to-end delivery through CI/CD pipelines and contribute to front-end features as needed.
You will design and implement scalable data platform architectures while managing cloud infrastructure using Infrastructure as Code. Additionally, you will lead migration efforts and collaborate with cross-functional teams to ensure platform reliability, security, and performance.
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Develop reusable, metadata-driven data pipelines and comprehensive data models using Databricks Lakehouse architecture. Implement robust ETL/ELT solutions and event-driven integrations to evolve the Azure-based Data Analytics Platform.
The architect will design and oversee scalable data infrastructure while collaborating with stakeholders to translate business requirements into effective data solutions. They will also provide technical guidance to engineering teams and ensure data quality, security, and compliance across all data pipelines.
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