Manager DevOps - Azure Databricks
Manager DevOps - Azure Databricks
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Job Description
We are seeking a proactive and skilled Manager DevOps to design implement and maintain robust CI/CD pipelines and cloud infrastructure on Microsoft Azure. This role is essential to support the scalable secure and reliable deployment of AI services including those built on platforms like Azure Databricks. You will collaborate closely with engineering data science and cloud teams to drive automation performance and system resilience.
Key Responsibilities
Build and manage scalable repeatable infrastructure using Terraform (IaC) across environments.
Design cloud environments for performance availability and cost optimization using Azure best practices.
Deploy infrastructure to support AI services and data pipelines on Azure and Databricks.
Design implement and maintain CI/CD pipelines for microservices and AI workflows.
Automate deployment processes using tools like Azure DevOps GitHub Actions or equivalent.
Integrate quality gates security checks and automated testing into pipelines.
Package and deploy containerized applications using Docker and Azure Container Apps.
Manage images in Azure Container Registry (ACR) and orchestrate secure image lifecycle management.
Leverage Azure Key Vault Blob Storage and Service Bus for secure and scalable operations
Implement and manage Azure Monitor for logging telemetry and proactive alerting.
Ensure system reliability through effective monitoring logging and incident response setups
.Maintain compliance and governance policies across environments.
Qualifications :
8 years of handson experience in DevOps Site Reliability Engineering or Cloud Infrastructure roles.
Strong expertise in Azure cloud services Terraform and Docker.
Solid understanding of CI/CD tools and practices.
Experience with Azure Databricks and deployment of AI/ML workloads.
Proficient in scripting languages such as Bash PowerShell or Python.
Familiarity with security compliance and costoptimization best practices in Azure.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
