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Cloud Engineer

Salary undisclosed

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Technical Skills:

  • Cloud Platforms: Proficiency in major cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (Google Cloud Platform).
  • Infrastructure-as-Code: Experience with IaC tools like Terraform, AWS CloudFormation, or Azure Resource Manager.
  • Automation: Knowledge of automation tools such as Ansible, Puppet, or Chef.
  • Scripting: Proficiency in scripting languages such as Python, Bash, or PowerShell.
  • Containerization: Experience with container technologies such as Docker and Kubernetes.
  • Networking: Understanding of cloud networking concepts, including VPCs, subnets, and load balancing.
  • Security: Knowledge of cloud security practices and tools, including IAM, encryption, and compliance standards.
  • Monitoring and Logging: Familiarity with monitoring and logging tools such as CloudWatch, Prometheus, Grafana, or ELK stack.

Preferred Qualifications:

  • Certifications: Relevant cloud certifications such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, or Google Cloud Professional Cloud Architect.
  • DevOps Experience: Experience with DevOps practices and tools for continuous integration and continuous deployment (CI/CD).
  • Big Data: Knowledge of cloud-based big data services and technologies such as AWS EMR, Google BigQuery, or Azure Data Lake.
  • Database Management: Experience with cloud-based databases and data management solutions.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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