Senior Cloud Engineer Experience Required: 58 years
Tech Stack: Azure | Databricks | AKS | ARO | Terraform | MLflow | CI/CD
Role Summary
We are looking for a seasoned cloud engineer to support ML development teams and drive end to end automation for model deployment and operations across Azure, Databricks, and Kubernetes platforms.
Key Responsibilities
Build and maintain CI/CD/CT pipelines for ML models using Azure DevOps / GitHub Actions/Jenkins
Develop and manage deployment workflows for:
o Databricks Jobs
o MLflow models
o Microservices running on AKS / ARO
Automate infrastructure using Terraform, scripting, and GitOps practices
Manage and optimize:
o Databricks workspaces
o AKS clusters
o Networking and model serving environments
Implement monitoring, logging, and alerting for ML systems and platform reliability
Collaborate closely with ML engineers, data engineers, and application teams
Ensure security best practices, governance, and cost optimization across MLOps pipelines
Required Skills
Strong hands on experience with Azure, AKS, ARO and Databricks
Solid experience with MLflow, Kubernetes based model deployments
Proficiency in Python and Bash / PowerShell
Good understanding of cloud security, networking, and distributed systems
