Senior DevOps Engineer (Azure, Containers, IaC)

7 - 10 years

20 - 25 Lacs

Posted:20 hours ago| Platform: Naukri logo

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Work Mode

Remote

Job Type

Full Time

Job Description

About Us

Intellify

cloud-native infrastructures on Azure

Role Overview

Senior DevOps Engineer

deployment pipelines, monitoring frameworks, and multi-cloud operations

Key Responsibilities

  • Design, build, and manage

    Azure-based infrastructure

    (AKS, Azure SQL/Postgres, App Services, Functions, Blob Storage, VMs, VNets).
  • Implement

    Infrastructure as Code (Terraform)

    for scalable, auditable, and automated deployments.
  • Manage

    containers (Docker)

    and orchestrate with

    Kubernetes (AKS)

    .
  • Develop and maintain

    CI/CD pipelines

    (Azure DevOps, GitHub Actions, Jenkins).
  • Ensure

    cloud security, compliance, RBAC, and networking policies

    .
  • Implement

    observability and monitoring stacks

    (Azure Monitor, Prometheus, Grafana, ELK).
  • Collaborate with developers and QA to

    automate build, test, and release workflows

    .
  • Build

    disaster recovery, backup, and multi-region failover strategies

    .
  • Provide

    multi-cloud support and migration expertise

    (AWS, GCP where required).

Required Skills & Experience

  • 710 years

    of professional DevOps / Cloud Engineering experience.
  • Strong expertise in

    Azure services

    (AKS, App Services, Azure Functions, Azure SQL/Postgres, Storage, Networking, Security).
  • Hands-on experience with

    Terraform

    and Infrastructure as Code.
  • Proficiency with

    containers (Docker)

    and

    Kubernetes (AKS, EKS, or GKE)

    .
  • Strong knowledge of

    CI/CD pipelines

    (Azure DevOps, GitHub Actions, Jenkins, or GitLab).
  • Scripting skills in

    Bash, Python, or PowerShell

    .
  • Familiarity with

    monitoring and observability tools

    (Azure Monitor, Grafana, Prometheus, ELK, OpenTelemetry).
  • Deep understanding of

    cloud networking, identity management, and performance optimization

    .

Nice-to-Have Skills

  • Experience with

    AWS (EKS, Lambda, RDS, S3)

    or

    GCP (GKE, Cloud Functions, Pub/Sub)

    .
  • Knowledge of

    multi-cloud strategies and workload migration

    .
  • Familiarity with

    service mesh technologies (Istio, Linkerd)

    .
  • Exposure to

    voice AI platforms or real-time communication systems

    .

What We Offer

  • Opportunity to

    build and scale mission-critical AI platforms

    in Azure-first, multi-cloud environments.
  • Work with a

    talented, cross-functional global team

    on cutting-edge

    voice agentic AI solutions

    .
  • Competitive compensation package with clear career growth.
  • Flexible working arrangements [remote/hybrid].
  • A chance to be part of a

    fast-scaling digital transformation journey

    .

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