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 define and implement the security architecture for the Azure cloud environment, including identity hardening, network security, and policy guardrails. Additionally, you will collaborate with platform teams to integrate security controls as code and ensure secure migration of workloads.
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 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.
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You will design and build modern cloud-native backend solutions using .NET and Azure services while integrating AI-assisted development tools. Your role involves managing microservices, ensuring system security, and maintaining high-quality, production-ready code.
The role involves managing cloud infrastructure, operations, and support within an Azure environment. Responsibilities include implementing CI/CD pipelines, ensuring cloud security and governance, and providing L2/L3 support.
You will design and govern Azure DevOps pipelines to ensure that AI-generated applications are secure, compliant, and properly deployed. Your role involves building guardrails, validations, and quality controls to maintain production standards without hindering development speed.
The Azure Platform Engineer will participate in cloud infrastructure projects and manage the operation and support of Azure platforms. Responsibilities include providing L2/L3 support and ensuring effective cloud governance and security.
Design, build, and maintain ETL/ELT pipelines using Azure Data Factory and Databricks while ensuring data quality and monitoring. Manage cloud infrastructure and CI/CD deployments using Bicep and Azure DevOps to ensure secure and scalable data solutions.
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.
You will participate in a specialized cell focused on developing Generative Artificial Intelligence solutions within the Microsoft ecosystem. You will be responsible for designing and implementing innovative AI projects with high visibility for a major insurance client.
Design, develop, and maintain data pipelines using Azure Data Factory and dbt, implementing transformation processes in Snowflake. Ensure data quality and reliability while collaborating with business and architecture teams to optimize the corporate data platform.
Develop and evolve critical Java applications and microservices solutions for an international banking entity. Automate integration and deployment processes using Azure DevOps and collaborate with international teams.
Develop and maintain microservices and scalable REST APIs using Java, Kotlin, and Spring Boot. Manage the full software lifecycle, including CI/CD automation, container orchestration, and system observability in an Agile environment.
Develop and maintain scalable microservices and REST APIs using Java, Kotlin, and Spring Boot. Manage the full software lifecycle, including automation of CI/CD processes and ensuring system observability and resilience.
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