Operate and maintain Azure and GCP cloud resources including AKS and Databricks

Design and implement Infrastructure as Code using Terraform with pipeline deployments

Develop and optimize DevOps pipelines using YAML scripts, Azure CLI, and Azure PowerShell

Manage version control processes including product release flows and branching strategies using Git

Configure and administer Azure DevOps services including service connections, variable groups, and permissions

Consult on software and infrastructure details related to AI platform services

Collaborate effectively within a Scrum team participating in sprint planning, daily stand-ups, and retrospectives

Troubleshoot and resolve infrastructure and deployment issues with a proactive approach

Document processes and workflows to support knowledge sharing and operational continuity

Ensure security and compliance within cloud environments and DevOps pipelines

3+ years of experience in DevOps or Site Reliability Engineering

Proven experience with Terraform deployments via pipelines

Strong knowledge of DevOps pipelines using YAML, Azure CLI, and Azure PowerShell

Proficiency in Git for version control and release management

Experience with Azure DevOps services, including pipelines, repositories, and security

Solid experience with Microsoft Azure cloud services

Strong analytical and problem-solving skills with a proactive mindset

Ability to collaborate effectively within a team and communicate technical concepts clearly

Upper-Intermediate English level (B2+) or higher

Experience with Azure Kubernetes Service (AKS)

Familiarity with Databricks components such as Spark Clusters, Workflows, and Unity Catalog

Knowledge of Google Cloud Platform resources including Data Factory and Kubernetes

Understanding of storage solutions like PostgreSQL, SQL, Cosmos DB, and Blob/ADLS storage

Experience with Azure Networking including Virtual Networks, Private Endpoints, and Network Security Groups