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Cloud & DevOps / UTIS-DEVOPS-NS-001

Azure Cloud DevOps Engineer (Azure Databricks)

Operate and automate the Azure platform for a global semiconductor company, with Azure Databricks administration, DevOps automation and cloud governance at the center of the role.

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Region
India
Work arrangement
Remote
Engagement type
Independent contractor with UTIS
Working hours
Must support US East Coast and West Coast business hours.
Posted
May 27, 2026
Applications
Open until filled

What you will work on

  • Design and maintain Azure DevOps CI/CD pipelines, approval gates and promotion across environments.
  • Build Infrastructure as Code with Terraform and Azure Bicep, including modules, state and deployment workflows.
  • Operate AKS and Docker workloads, including ingress, autoscaling, network policies and cluster upgrades.
  • Automate Databricks workspace, cluster and job deployments; manage Unity Catalog, access and runtime configuration.
  • Administer Azure networking, Entra ID, RBAC, Managed Identities, Key Vault, storage and monitoring.
  • Improve cost governance, reliability, incident response, recovery plans and operational documentation.

What you bring

  • 7+ years of hands-on Azure cloud administration in enterprise environments.
  • Strong Azure Databricks administration, performance tuning, access management and deployment automation.
  • Azure DevOps CI/CD, Terraform, Azure Bicep, AKS, Docker, Git and Azure Repos.
  • Azure networking, Entra ID, RBAC, Managed Identities, Key Vault, Azure Monitor and Log Analytics.
  • PowerShell, Azure CLI and Python automation; cloud cost governance and troubleshooting.
  • Clear client-facing communication and reliable availability across US East Coast and West Coast hours.
  • Own laptop and peripherals, reliable internet and a secure workspace; hardware is not provided.

Useful additional experience

  • Azure DevOps Engineer Expert or Azure Administrator certification.
  • Azure Data Factory, Synapse Analytics, Azure Policy and landing-zone governance.
  • GitHub Actions, Prometheus, Grafana, Azure AI or MLOps platform experience.
  • Disaster recovery planning and semiconductor or manufacturing experience.

Engagement details

  • Long-term client engagement through UTIS.
  • Approximate focus: 60% DevOps and cloud orchestration; 40% Azure administration.