Operate and support Azure and Google Cloud resources including AKS and Databricks

Design and deploy Infrastructure as Code using Terraform through pipeline automation

Build and improve DevOps pipelines with YAML, Azure CLI, and Azure PowerShell

Manage version control and release workflows using Git including branching strategies

Configure and maintain Azure DevOps services such as service connections, variable groups, and access permissions

Advise on software and infrastructure aspects related to AI platform offerings

Collaborate within a Scrum team during sprint planning, daily meetings, and retrospectives

Diagnose and solve infrastructure and deployment challenges proactively

Document processes and workflows to facilitate knowledge transfer and operational consistency

Ensure cloud environments and DevOps pipelines comply with security and governance standards

Minimum 5 years of experience in DevOps or Site Reliability Engineering roles

Demonstrated expertise with Terraform deployments integrated into pipelines

Strong knowledge of DevOps pipeline tools including YAML, Azure CLI, and Azure PowerShell

Proficient with Git for version control and managing releases

Hands-on experience with Azure DevOps services including pipelines, repositories, and security configurations

Solid background in Microsoft Azure cloud services

Excellent analytical and problem-solving abilities with a proactive attitude

Effective team collaboration and clear communication of technical concepts

Upper-Intermediate English proficiency (B2+) or higher

Experience working with Azure Kubernetes Service (AKS)

Knowledge of Databricks components such as Spark Clusters, Workflows, and Unity Catalog

Familiarity with Google Cloud Platform resources like Data Factory and Kubernetes

Understanding of storage services such as PostgreSQL, SQL, Cosmos DB, and Blob/ADLS storage

Exposure to Azure Networking including Virtual Networks, Private Endpoints, and Network Security Groups