🚀 Senior DevOps Engineer (Azure & Databricks) 🐿

We’re looking for a Senior DevOps Engineer to join a long-term project focused on building and operating a scalable AI/ML platform in Azure.

The role is centered on DevOps / MLOps infrastructure — no model development or training, but full ownership of automation, reliability, and governance in production.

🛠 Tech Stack

• Azure & Databricks

• Terraform

• CI/CD (Azure DevOps / GitHub Actions)

📌 Project Details

• Assignment: Full-time

• Duration: Long-term

• Location: Ukraine / EU

• English: Upper-Intermediate

• Start: ASAP

✅ Responsibilities

• Design and automate Databricks infrastructure using Terraform and CI/CD pipelines

• Deploy and maintain environments for ML model training, versioning, and monitoring

• Integrate Databricks with Azure Key Vault, Storage, ADF, Synapse

• Manage access control, data lineage, and governance via Unity Catalog & MLflow

• Collaborate closely with Data Scientists to operationalize ML models

• Ensure secure, scalable, and stable production environments following DevOps best practices

🔧 Required Experience

• Strong hands-on experience with Databricks (workspaces, clusters, jobs, Delta Lake)

• Solid expertise in Azure Cloud and its integration with Databricks

• Production experience with Terraform and CI/CD automation

• Scripting skills in Python and/or Bash

• Confident English communication and experience working with distributed teams

⭐ Nice to Have

• Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn) — for context

• Experience with Docker and/or Kubernetes

📩 Interested or know someone who might be a good fit?

Drop me a message — happy to share more details!