Description
The Senior Cloud Engineer will support ML development teams and drive end-to-end automation for model deployment and operations across Azure, Databricks, and Kubernetes platforms. Responsibilities include building CI/CD/CT pipelines, managing Databricks jobs and MLflow models, deploying microservices on AKS or ARO, automating infrastructure with Terraform and GitOps, optimizing workspaces and clusters, and implementing monitoring, logging, alerting, security, governance, and cost optimization. The role requires 5–8 years of experience, local candidates for a face-to-face AMAT interview, and a 4-day office work mode in Bengaluru.
