Cloud Engineer

Intone Inc; United States; Remote; USD 70,000 - 110,000; Full time

Job summary

Intone Inc. is seeking a proactive Cloud Engineer for a remote, 12+ month contract in the United States. The role focuses on building Data Landing Zones (DLZ) using Infrastructure as Code, deploying Azure resources, and integrating with the Databricks environment.

You will provide first-level application support, onboard new DLZs, run pipelines to manage Azure and Databricks resources, and automate repetitive tasks while maintaining thorough documentation.

Qualifications

• 1–3 years hands-on experience with Databricks.
• 1–3 years of experience with Azure Data Factory.
• Background in application support or technical operations.
• Familiarity with major cloud platforms (Azure, AWS, GCP).
• Experience with source control (Git, GitHub, GitLab).

Responsibilities

• Provide first-level support to application teams via ServiceNow ticketing system.
• Gather and analyze requirements to onboard new DLZs.
• Execute pipelines and scripts to provision or modify Azure and Databricks resources.
• Automate repetitive tasks and improve existing support processes.
• Create and maintain documentation for support procedures and workflows.
• Collaborate with cross-functional teams to resolve support requests efficiently.

Tools

Databricks

Azure Data Factory

Git/GitHub/GitLab

Terraform

Azure DevOps

Python/PowerShell

Job description

We are seeking a proactive and detail-oriented Cloud Engineer to join a contract team in a remote capacity for a 12+ month engagement. In this role, you will collaborate closely with application teams to build and deploy Data Landing Zones (DLZ) using Infrastructure as Code (IaC). This involves deploying commonly requested Azure resources, automating common processes, and ensuring smooth onboarding of new application teams into the Databricks environment.

Responsibilities

• Provide first-level support to application teams via ServiceNow ticketing system
• Gather and analyze requirements to onboard new DLZs
• Execute pipelines and scripts to provision or modify Azure and Databricks resources
• Automate repetitive tasks and improve existing support processes
• Create and maintain comprehensive documentation for support procedures and workflows
• Collaborate with cross-functional teams to resolve common support requests efficiently

Qualifications

• Required
  • 1–3 years of hands‑on experience with Databricks
  • 1–3 years of experience with Azure Data Factory
  • Background in application support or technical operations
  • Familiarity with major cloud platforms (Azure, AWS, GCP)
  • Experience with source control (Git, GitHub, GitLab)
• Preferred
  • In‑depth knowledge of Databricks features such as Unity Catalog, RBAC, authentication methods, and Delta Sharing
  • Experience working within the Azure ecosystem
  • Proficiency in IaC tools (Terraform, AWS CDK, Bicep)
  • Experience with CI/CD pipelines using automation tools (Azure DevOps, Jenkins, GitHub Actions)
  • Experience in scripting and development (Python, PowerShell, Bash)