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Cloud Engineer - Denver, United States - InfoVision Inc.
Description
Azure Cloud Engineer
Location: Bay Area, CA (or) Portland, OR (or) Denver, CO
Key Skills: Cloud Engineer (Azure) with experience in Databricks and data platform architecture.
Responsibilities:
• Design and deploy scalable and secure Azure infrastructure solutions for our data platform, including Databricks, Azure Data Lake Storage, Azure Synapse Analytics, and other related services.
• Collaborate with data engineers and data scientists to understand their requirements and ensure the cloud infrastructure meets their needs.
• Implement best practices for infrastructure as code (IaC) using tools like Azure Resource Manager templates, Terraform, or Bicep.
• Configure and manage Azure networking components, such as Virtual Networks, Subnets, Network Security Groups, and Azure Firewalls.
• Implement and maintain security and compliance measures, including Azure Active Directory integration, role-based access control (RBAC), and data encryption.
• Automate deployment and maintenance processes using Azure DevOps or other CI/CD tools.
• Monitor and optimize the performance and cost of Azure resources, including Databricks clusters and Azure Data Lake Storage.
• Stay up-to-date with the latest Azure services, features, and best practices, and provide guidance to the team.
• Participate in on-call rotations and respond to incidents and alerts related to the Azure infrastructure.
Requirements:
• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent work experience.
• 3+ years of experience working with Azure cloud services, with a focus on data and analytics workloads.
• Strong understanding of Azure infrastructure services, such as Virtual Machines, Storage Accounts, Azure Data Lake Storage, Azure Synapse Analytics, and Azure Databricks.
• Experience with infrastructure as code (IaC) tools like ARM templates, Terraform, or Bicep.
• Proficiency in scripting languages like PowerShell, Bash, or Python for automation and management tasks.
• Knowledge of networking concepts and experience with Azure networking services (Virtual Networks, Network Security Groups, Azure Firewalls).
• Familiarity with security and compliance best practices in Azure, including Azure Active Directory, RBAC, and data encryption.
• Experience with CI/CD pipelines and automation tools like Azure DevOps or GitHub Actions.
• Strong problem-solving and analytical skills, with the ability to troubleshoot and resolve complex issues.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
Preferred Qualifications:
• Experience working with Apache Spark and Databricks environments.
• Knowledge of data engineering and data science concepts and workflows.
• Familiarity with containers and container orchestration platforms like Azure Kubernetes Service (AKS).
• Understanding of cloud cost optimization strategies and resource management best practices.
• Relevant cloud certifications, such as Azure Solutions Architect or Azure Data Engineer Associate.