551 to 575 of 4,509 Permanent Microsoft-Azure Jobs

back-end systems with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset ...

back-end systems with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset ...

back-end systems with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset ...

back-end systems with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset ...

back-end systems with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset ...

back-end systems with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset ...

back-end systems with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset ...

back-end systems with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset ...

back-end systems with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset ...

back-end systems with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset ...

back-end systems with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset ...

back-end systems with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset ...

back-end systems with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset ...

back-end systems with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset ...

back-end systems with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset ...

back-end systems with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset ...

back-end systems with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset ...

back-end systems with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset ...

architecting core business systems, including platforms such as Optimizely, Marketo, Salesforce, SAP, and Workday. Extensive experience delivering large-scale solutions on cloud platforms (Azure, GCP, AWS). Strong grasp of enterprise security and identity management solutions (Microsoft Entra ID, Ping). Proven track record accelerating engineering velocity ...

architecting core business systems, including platforms such as Optimizely, Marketo, Salesforce, SAP, and Workday. Extensive experience delivering large-scale solutions on cloud platforms (Azure, GCP, AWS). Strong grasp of enterprise security and identity management solutions (Microsoft Entra ID, Ping). Proven track record accelerating engineering velocity ...

VIQU is partnering with a leading organisation on a major cloud and DevOps transformation, moving from on-premise to a cloud-first Azure environment. This is a high-impact opportunity for a Senior DevOps Engineer to work closely with development teams, shaping CI/CD pipelines, container platforms … performance testing • Manage NuGet/npm repositories and IIS/Node.js servers • Identify opportunities to automate and streamline processes • Document environments and provide Azure cloud guidance • Collaborate with Security and Audit teams to ensure compliance Key Requirements • Strong experience with Terraform (IaC) and Azure DevOps (Repos ...

Role – Data Platform Architect Technology – Snowflake, SQL Server, Power BI, Azure, Confluent Location – London, UK Job Description We are seeking a seasoned Platform Lead to architect and manage enterprise data platforms across cloud and on-prem environments. The role demands deep expertise in Snowflake, SQL Server, Power … Azure, and Confluent technologies. You will lead platform strategy, administration, and integration to support scalable analytics and data engineering solutions. Responsibilities include performance optimization, governance, automation, and enabling secure, reliable data flows. This role requires strong leadership, cross-functional collaboration, and hands-on technical proficiency. Your role ...

Role – Data Platform Architect Technology – Snowflake, SQL Server, Power BI, Azure, Confluent Location – London, UK Job Description We are seeking a seasoned Platform Lead to architect and manage enterprise data platforms across cloud and on-prem environments. The role demands deep expertise in Snowflake, SQL Server, Power … Azure, and Confluent technologies. You will lead platform strategy, administration, and integration to support scalable analytics and data engineering solutions. Responsibilities include performance optimization, governance, automation, and enabling secure, reliable data flows. This role requires strong leadership, cross-functional collaboration, and hands-on technical proficiency. Your role ...

React (ideally TypeScript) , Blazor , and GraphQL Familiarity with C++ and/or Python Containerisation (e.g., Docker, dev containers) Web app and microservice deployment (Azure App Service, Azure Functions) Infrastructure as Code using Terraform for Azure and AWS Why Join Our Client ...

ASP.NET Core, including building RESTful APIs, microservices, and middleware components. Strong understanding of object-oriented programming, SOLID principles, and design patterns. Familiarity with Azure or other cloud platforms or AWS, particularly with services like App Services, Azure Functions, and Azure DevOps. We offer Work ...