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 DevOps 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 j...