DevOps Engineer –Azure

Position: DevOps Engineer Azure (AI Platforms)

Location: Hyderabad, India (Full-time work from office)

Experience Required: 5+ Years (with a strong focus on Azure DevOps and cloud-native

solutions)

Employment Type: Full-Time

Role Overview

We are looking for an experienced DevOps Engineer with strong expertise in Microsoft

Azure technologies to join our AI Center of Excellence (AICoE). You will play a key role in

supporting the deployment, scaling, and operational excellence of QMentisAI, QualiZeals

enterprise-grade Generative AI platform for quality engineering, and NexaAI, QualiZeals

service offering for developing GenAI-based solutions.

The ideal candidate should have hands-on experience in Azure DevOps, CI/CD pipeline

creation, Infrastructure-as-Code (IaC), and strong familiarity with containerized and

microservice-based architecture.

Key Responsibilities

Azure DevOps & Automation

o Design, build, and maintain CI/CD pipelines using Azure DevOps.

o Automate infrastructure provisioning using Terraform, ARM templates, or

Bicep.

o Manage Azure App Services, Functions, AKS (Kubernetes), and Container

Instances.

Cloud Infrastructure & Monitoring

o Implement secure, scalable, and reliable Azure cloud environments.

o Configure monitoring, logging, and alerting using Azure Monitor, Log

Analytics, and Application Insights.

o Optimize cloud costs, manage resource utilization, and ensure high

availability.

Collaboration & Delivery

o Work closely with AI Architects, Developers, and MLOps teams to enable

smooth deployments for QMentisAI and NexaAI.

o Drive infrastructure-as-code and continuous delivery best practices across

AICoE.

o Contribute to release automation, testing, and rollback strategies.

Required Skills & Qualifications

Technical Expertise

o 5+ years of experience in DevOps and the Azure ecosystem.

o Strong knowledge of Azure DevOps, GitHub Actions, YAML pipelines, Docker,

and Kubernetes.

o Familiarity with Terraform, ARM/Bicep, and Helm for infrastructure

management.

o Experience in monitoring, security, and compliance setup on Azure.

o Working experience with REST APIs and microservice architectures.

Professional Attributes

o Proactive problem-solver with a focus on automation and reliability.

o Excellent communication skills and ability to work in Agile environments.

o Strong ownership mindset to support 24/7 uptime for AI platforms.

Preferred Qualifications

Exposure to LLM/GenAI pipelines and AI-based workflow automation.

Familiarity with MLOps concepts (model versioning, deployment, monitoring).

Knowledge of security practices like IAM, VNETs, and Key Vault integration.