Kubernetes
JenkinsHiring: 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
Shubham Vishwakarma
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Full Stack Developer - Averlon