Azure DevOps Engineer

TechNET; India; Remote; INR 2,009,000 - 3,348,000; Full time

Job summary

TechNET is seeking an experienced DevOps Engineer to design and manage CI/CD pipelines for application, data, and AI workloads on Azure. You will automate deployment of Azure services, Databricks assets, and cloud infrastructure while implementing IaC in Terraform/Bicep/ARM templates.

Role includes configuring monitoring, security controls, and governance, plus supporting MLOps and LLMOps workflows. Collaboration with cross-functional teams is essential to improve deployment efficiency and

Qualifications

• 5–10 years of DevOps/Cloud experience
• Strong Azure cloud infrastructure knowledge
• Hands-on in CI/CD automation and IaC
• Experience with Databricks CI/CD, MLOps, LLMOps is a plus
• Security controls, secrets management, and governance experience
• Collaboration with cross-functional teams to improve deployments

Responsibilities

• Design, implement, and manage CI/CD pipelines for apps, data, and AI workloads using Azure DevOps and GitHub Actions
• Automate deployment of Azure services, Databricks assets, and cloud infra
• Implement IaC with Terraform, Bicep, and ARM templates
• Configure monitoring, observability, logging, and alerting for reliability
• Support MLOps/LLMOps workflows and AI deployment automation
• Enforce security controls, secrets management, and governance policies
• Manage containers and AKS deployments with Docker and Kubernetes
• Support releases, incident response, and reliability engineering
• Automate operational tasks with Python, PowerShell, and Bash
• Collaborate with multiple teams to improve deployment efficiency

Skills

DevOps

CI/CD design

Secure deployment

Collaboration

Incident response

Tools

Terraform

Bicep

ARM Templates

Databricks Asset Bundles

MLflow

MLOps

LLMOps

Python

PowerShell

Bash

RBAC

Azure Key Vault

Azure Policy

Docker

Kubernetes

Azure DevOps

GitHub Actions

AKS

Job description

Experience: 5–10 Years

Location: Remote - India

Engagement: Contract

Duration: 6+ months, with possibility of extension

About the Role

We are looking for an experienced DevOps Engineer with strong hands‑on expertise in Azure cloud infrastructure, CI/CD automation, Infrastructure as Code, and container orchestration. The ideal candidate will support application, data, and AI workloads by building secure deployment pipelines, automating infrastructure, and improving production reliability. Experience with Databricks CI/CD, MLOps, and LLMOps will be valuable.

Key Responsibilities

• Design, implement, and manage CI/CD pipelines for application, data, and AI workloads using Azure DevOps and GitHub Actions.
• Automate the deployment of Azure services, Databricks assets, and cloud infrastructure.
• Implement Infrastructure as Code (IaC) using Terraform, Bicep, and ARM templates.
• Configure monitoring, observability, logging, and alerting to ensure system reliability and performance.
• Support MLOps and LLMOps workflows, including AI model deployment and automation.
• Implement security controls, secrets management, access policies, and compliance standards.
• Manage containerised applications and Kubernetes environments using Docker and Azure Kubernetes Service (AKS).
• Support production releases, incident response, troubleshooting, and reliability engineering.
• Automate operational processes using Python, PowerShell, and Bash scripting.
• Collaborate with development, data engineering, AI/ML, and security teams to improve deployment efficiency and operational stability.

Required Skills and Technologies

• Infrastructure as Code: Terraform, Bicep, ARM Templates.
• Databricks: Databricks Asset Bundles, automated deployment, and CI/CD pipelines.
• AI/ML Operations: MLflow, MLOps, LLMOps concepts, and AI deployment automation.
• Scripting: Python, PowerShell, Bash.
• Security & Governance: Role-Based Access Control (RBAC), Azure Key Vault, secrets management, and Azure Policy.
• Production Operations: Release management, incident response, troubleshooting, and reliability engineering.