VS01662 - Senior Cloud Engineer

E4 Software Services Pvt Ltd.; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

E4 Software Services Pvt Ltd. is seeking 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.

You will build and maintain CI/CD/CT pipelines, develop deployment workflows for Databricks Jobs and MLflow models, and automate infrastructure with Terraform and GitOps practices. Collaborate with ML engineers and data teams while ensuring security and cost optimization.

Qualifications

• Hands-on experience with Azure, AKS, ARO and Databricks.
• Experience deploying ML models with MLflow and Kubernetes-based deployments.
• Proficient in Python and Bash/PowerShell; strong cloud security and networking knowledge.

Responsibilities

• Build and maintain CI/CD/CT pipelines for ML models using Azure DevOps, GitHub Actions, or Jenkins.
• Develop deployment workflows for Databricks Jobs, MLflow models, and microservices on AKS/ARO.
• Automate infrastructure with Terraform and GitOps practices.
• Manage and optimize Databricks workspaces, AKS clusters, networking, and model serving environments.
• Implement monitoring, logging, and alerting for ML systems and platform reliability.
• Collaborate with ML engineers, data engineers, and application teams.
• Ensure security governance and cost optimization across MLOps pipelines.

Skills

Azure

AKS

ARO

Databricks

MLflow

Python

Bash/PowerShell

Cloud security

Networking

Kubernetes

Tools

Azure DevOps

GitHub Actions

Jenkins

Terraform

Databricks

MLflow

AKS

ARO

Job description

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:
  • Databricks Jobs
  • MLflow models
  • Microservices running on AKS / ARO
• Automate infrastructure using Terraform, scripting, and GitOps practices
• Manage and optimize:
  • Databricks workspaces
  • AKS clusters
  • 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