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описание
Описания нет
задачи
Build and manage scalable Azure and Databricks platform capabilities
Automate infrastructure provisioning and configuration using Terraform
Develop and maintain CI/CD pipelines across development, test, and production environments
Implement security, access controls, and governance standards
Monitor platform performance, reliability, and operational health
Support deployment and integration of Data and AI workloads
требования
Experienced platform engineer with strong Azure and Databricks expertise
Experience with Infrastructure as Code
Knowledge of Databricks workspaces, compute, SQL warehouses, jobs/workflows, Unity Catalog, and platform configuration
Knowledge of Azure identity, networking, storage, Key Vault, service principals, and Azure–Databricks integration
Experience with Terraform, reusable modules, environment configuration, and automated deployments
Knowledge of Azure DevOps, Git repositories, branching strategies, CI/CD pipelines, automated testing, and multi-environment deployments
Knowledge of RBAC, least-privilege access, secrets management, auditability, and data/AI permissions
Experience monitoring platform services, data pipelines, and AI workloads
Skills in Python, SQL, scripting, and REST APIs
Будет плюсом: Databricks Apps and Model Serving, AI Gateway and Vector Search, agent-based AI solutions, Databricks Asset Bundles or similar deployment frameworks