Cloud Engineer

Skip to main content Cloud Engineer Moody's Corporation Charlotte Metro Cloud Engineer Moody's Corporation Charlotte Metro 1 day ago Be among the first 25 applicants See who Moody's Corporation has hired for this role No longer accepting applications Report this job Moody's Corporation provided pay range This range is provided by Moody's Corporation. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $145,000.00/yr - $185,000.00/yr Moody's Corporation - Databricks Cloud Engineer Location: Charlotte, NCOnsite: Hybrid 2 days a week onsiteCompensation: 145k-185kBenefits: Medical, Dental, Vision, 401K, Equipment, ect.*Moody’s is looking for an Azure Cloud Engineer with experience integrating Databricks with Azure infrastructure services. This is NOT a Data Engineer – this is someone who has worked on the infrastructure of the Azure platform and has integrated Databricks into the various services within Azure infrastructure.*Required SkillsStrong proficiency with core Azure infrastructure services.Background in Platform Engineering.Hands-on experience with Databricks infrastructureExperience integrating Databricks with Azure infrastructure services (Event hub, CosmosDB, etc.)Hands-on experience with Cosmos DB and related Azure data services.Proficiency in scripting and automation using PowerShell, Python, or Azure CLI.Understanding of Azure security, role-based access control (RBAC), and networkingAbout the RoleWe are seeking a Cloud Azure Engineer with a strong background in cloud infrastructure and a specialization in data services. This role is ideal for someone with deep experience in managing Azure-based data systems, including Cosmos DB, and a passion for building scalable and secure data platforms.Key ResponsibilitiesDeploy, configure, and manage Azure infrastructure including VMs, storage accounts, virtual networks, and network security groups.Design and manage scalable data solutions using Azure services such as Cosmos DB, Azure SQL, and Data Lake Storage.Implement best practices in data availability, redundancy, backup, and disaster recovery.Support data ingestion, transformation, and storage pipelines in collaboration with data engineers.Monitor performance and optimize database and storage configurations.Automate infrastructure deployment using ARM templates, Terraform, or Bicep.Collaborate with cross-functional teams in Agile environments using Jira and GitHub. Show more Show less Seniority level Mid-Senior level Employment type Contract Job function Engineering and Information Technology Industries Financial Services and Information Services Referrals increase your chances of interviewing at Moody's Corporation by 2x See who you know Featured Benefits Inferred from the description for this job Medical insurance Vision insurance Dental insurance 401(k) Medical insurance Vision insurance Dental insurance 401(k) ...