Senior cloud engineer – azure & mlops platform

About the Role
We are looking for a Senior Cloud Engineer with 5–8 years of experience to build and scale cloud-native ML infrastructure and deployment platforms across Azure, Databricks, Kubernetes, and MLOps environments.
The ideal candidate should have strong hands-on experience in cloud application development, Kubernetes-based deployments, automation, and platform engineering — not just operational Dev Ops support. We are specifically looking for candidates with deep expertise in cloud-native architecture, infrastructure automation, and scalable ML deployment systems.
Work from Office – Minimum 4 Days/Week
⚡ Immediate Joiners or Candidates with Notice Period up to 15 Days Preferred
Tech Stack
Azure | Databricks | AKS | ARO | Terraform | MLflow | CI/CD
Key Responsibilities
- Build and maintain CI/CD/CT pipelines for ML and cloud-native applications
- Develop scalable deployment workflows for MLflow models, Databricks jobs, and microservices on AKS/ARO
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