CUBE

Cloud Engineer

CUBE

contract

Posted on:

Origin:  • 🇬🇧 United Kingdom

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Job Level

Mid-LevelSenior

Tech Stack

AzureCloudDockerGoogle Cloud PlatformKubernetesTerraform

About the role

  • Collaborate with the team to design and build scalable, secure, and high-performance Azure infrastructure and applications.
  • Implement infrastructure as code (IaC) using tools such as Terraform, Bicep, or ARM templates.
  • Build, maintain and monitor ML Pipelines.
  • Lead and contribute to the development and deployment of cloud solutions through CI/CD pipelines.
  • Integrate best practices for cloud architecture, automation, and monitoring.
  • Assist with cost optimization efforts and efficient resource management across Azure services.
  • Troubleshoot complex technical issues and provide practical, resilient solutions.
  • Maintain a strong understanding of cloud security protocols and ensure all solutions meet compliance requirements.
  • Work closely with cross-functional teams to align on project requirements and technical goals.
  • Stay current with emerging Azure technologies and drive continuous improvement initiatives within the team.

Requirements

  • Proven experience in cloud engineering roles, preferably with a focus on Microsoft Azure.
  • Strong technical expertise designing and implementing Azure services, including IaaS, PaaS, and SaaS.
  • Hands-on experience with infrastructure as code tools (Terraform, Bicep, ARM templates).
  • Experience building, maintaining and monitoring ML pipelines.
  • Familiarity with CI/CD processes and tools.
  • Proficient understanding of cloud security best practices, resilience, and identity/access management.
  • Excellent problem-solving skills and collaborative working style.
  • Strong communication skills to engage with technical and non-technical stakeholders.
  • Preferred: Experience migrating from GCP to Azure.
  • Preferred: Experience with containerization technologies such as Docker and Kubernetes.
  • Preferred: Knowledge of multi-cloud or hybrid cloud environments.
  • Preferred: Microsoft Azure certifications (Azure Solutions Architect Expert, Azure DevOps Engineer Expert).
  • Preferred: Familiarity with data engineering practices.
  • Preferred: Exposure to Agile methodologies and fast-paced environments.
  • Preferred: Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).