Cloud Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Cloud Engineer on a contract basis, hybrid (2-3 days onsite) in London/Leeds/Edinburgh. Key skills include Azure, GCP, CI/CD pipeline design with Harness, and Kubernetes experience is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
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🗓️ - Date discovered
August 29, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
England, United Kingdom
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🧠 - Skills detailed
#Microsoft Azure #Kubernetes #Azure cloud #Cloud #Azure #GitHub #GCP (Google Cloud Platform)
Role description
Role: Azure Cloud Engineer
Type: Contract
Mode: Hybrid for 2 to 3 days on site in a week.
Locations: London/Leeds/Edinburgh, UK
JD
• The ideal candidates should have practical experience in designing and deploying CI/CD pipelines using Harness,
• Proficiency in integrating GitHub repositories with Harness pipelines, and skills in developing and deploying CI/CD pipelines with Harness to container orchestration platforms such as Azure Kubernetes Service (AKS) and Google Kubernetes Engine (GKE).
• They should be capable of managing pipeline stages, versioning, connectors, and infrastructure configurations, and have extensive hands-on experience with containerization and Kubernetes services across cloud environments like Microsoft Azure and Google Cloud Platform.
Role: Azure Cloud Engineer
Type: Contract
Mode: Hybrid for 2 to 3 days on site in a week.
Locations: London/Leeds/Edinburgh, UK
JD
• The ideal candidates should have practical experience in designing and deploying CI/CD pipelines using Harness,
• Proficiency in integrating GitHub repositories with Harness pipelines, and skills in developing and deploying CI/CD pipelines with Harness to container orchestration platforms such as Azure Kubernetes Service (AKS) and Google Kubernetes Engine (GKE).
• They should be capable of managing pipeline stages, versioning, connectors, and infrastructure configurations, and have extensive hands-on experience with containerization and Kubernetes services across cloud environments like Microsoft Azure and Google Cloud Platform.
