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 contemporary 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

Skills:- MLOps, Windows Azure, Kubernetes, aks, aro, Terraform, databricks and Jenkins

📌 Cloud Engineer (Bengaluru)
🏢 Thinqor
📍 Bengaluru