Senior Cloud Engineer

Experience Required: 5–8 years

Tech Stack: Azure | Databricks | AKS | ARO | Terraform | MLflow | CI/CD

Role Summary

We are looking for a seasoned cloud engineer to support ML development teams and drive end to end automation for model deployment and operations across Azure, Databricks, and Kubernetes platforms.

Key Responsibilities

• Build and maintain CI/CD/CT pipelines for ML models using Azure DevOps / GitHub Actions/Jenkins

• Develop and manage deployment workflows for:

o Databricks Jobs

o MLflow models

o Microservices running on AKS / ARO

• Automate infrastructure using Terraform, scripting, and GitOps practices

• Manage and optimize:

o Databricks workspaces

o AKS clusters

o Networking and model serving environments

• Implement monitoring, logging, and alerting for ML systems and platform reliability

• Collaborate closely with ML engineers, data engineers, and application teams

• Ensure security best practices, governance, and cost optimization across MLOps pipelines

Required Skills

• Strong hands on experience with Azure, AKS, ARO and Databricks

• Solid experience with MLflow, Kubernetes based model deployments

• Proficiency in Python and Bash / PowerShell

• Good understanding of cloud security, networking, and distributed systems