Cloud Engineer

Hiring: Cloud Engineer – MLOps Platform 🚨 📍 Location: Bangalore 🧠 Experience: 5–8 Years We are looking for an experienced Cloud Engineer to support ML teams and drive end-to-end automation for model deployment across modern cloud platforms. 🔹 Tech Stack: Azure | Databricks | AKS | ARO | Terraform | MLflow | CI/CD 🔹 Key Responsibilities: • Build and maintain CI/CD and Continuous Training (CT) pipelines using Azure DevOps, GitHub Actions, or Jenkins. • Deploy Databricks jobs, MLflow models, and microservices on AKS / ARO environments. • Automate infrastructure using Terraform and GitOps practices. • Manage Databricks workspaces, AKS clusters, and networking configurations. • Implement monitoring, logging, and alerting systems for ML workloads. • Ensure cloud security, governance, and cost optimization best practices. 🔹 Required Skills: ✔ Strong hands-on experience with Azure, AKS, ARO, and Databricks ✔ Experience with MLflow and Kubernetes-based deployments ✔ Proficiency in Python and Bash / PowerShell scripting ✔ Strong understanding of cloud security, infrastructure automation, and distributed systems