Senior Cloud Engineer

Senior Cloud Engineer

Location

ITPL, Bengaluru

work mode

4 days work from office

Interview

AMAT interview will face to face - need local candidates

Experience Required

5–8 years

Salary

25 LPA

AMDIA00168 - Senior Cloud Engineer - 1

Basic Screening Questionnaire

• Focused on building and evaluating enterprise-scale agentic AI systems.
• The candidate would assess, prototype, and recommend platforms including Azure

AI Foundry, AWS Bedrock/AgentCore, Google Cloud Gemini, Databricks AgentBricks,

and TrueFoundry for production adoption.

• Experience with LLM-based systems — agent workflows, RAG pipelines, and

enterprise AI applications

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

Open Demands JD

• 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