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Devops Engineer –azure

Devops Engineer –azure

QualiZealHyderabad, Republic Of India, IN
9 hours ago
Job description

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, QualiZeal’s

enterprise-grade Generative AI platform for quality engineering, and NexaAI, QualiZeal’s

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.
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    Azure Engineer • Hyderabad, Republic Of India, IN