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
Условия
•Contract
•European Union
