Back to SearchSenior Microsoft Azure DevOps Engineer
Remote in Colombia
Microsoft Azure
& 5 others
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We are seeking a Senior Microsoft Azure DevOps Engineer to support AI platform operations and cloud resource management.
You will collaborate with the team to design and build solutions that improve service delivery and infrastructure. Apply now to contribute to this long-term, innovative project supporting AI platforms.
Responsibilities
- 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
Requirements
- 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
Nice to have
- 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