Senior/Lead Devops Engineer (Azure)

Cloudiq Solutions; Chennai District; On-site; INR 3,000,000 - 4,200,000; Full time

Job summary

Cloudiq Solutions is seeking a seasoned DevOps/Cloud Engineer to lead cloud infrastructure and CI/CD automation across Azure, AWS, and OCI. You will design pipelines, manage IaC using Terraform and Bicep, and secure multi-environment deployments.

The role requires 7+ years of hands-on experience with containerization (Docker, Kubernetes) and monitoring tools like Datadog and Grafana. Leadership of a 20-30 engineer team is desirable.

Qualifications

• 7+ years of experience in DevOps and cloud engineering.
• Hands-on with Azure, AWS, Oracle Cloud/Google Cloud Platform.
• Strong knowledge of CI/CD tools (Azure DevOps, Jenkins, GitHub Actions, GitLab).
• Proficiency in Infrastructure as Code (Terraform, ARM, Bicep).
• Configuration management tools (Ansible, Puppet).
• Experience with containerization and orchestration (Docker, Kubernetes).

Responsibilities

• Design, implement, and manage CI/CD pipelines using Azure DevOps for .NET, Node.js, Android, iOS, and containerized apps.
• Maintain and deploy to Azure App Services, Function Apps, Logic Apps, AKS, and Service Fabric.
• Manage version control, approvals, and self-hosted agents within Azure DevOps environments.
• Develop and manage infrastructure using Terraform, Bicep, and Terraform Cloud Workspaces.
• Automate and provision Azure landing zones, network architectures, and multi-environment deployments.
• Operate and secure environments in Azure, AWS, and OCI; configure Azure Firewalls, Palo Alto Firewalls, and Cloudflare WAF/DNS.
• Containerize applications with Docker and manage clusters in AKS, ECS, and ACI.
• Monitor cloud infra with Azure Monitor, Log Analytics, Prometheus, and Grafana.
• Develop automation with PowerShell, Azure Logic Apps, and Python; ETL with Azure Data Factory and Synapse.

Skills

DevOps & cloud eng

Azure

AWS

OCI

CI/CD tools

Terraform

Bicep

Terraform Cloud

Docker

Kubernetes

AKS

Terraform Cloud Workspaces

Azure DevOps

Jenkins

GitHub Actions

Prometheus

Grafana

Datadog

New Relic

PowerShell

Python

Tools

Azure DevOps

Jenkins

GitHub Actions

GitLab

Terraform

Bicep

Terraform Cloud

Terraform Cloud Workspaces

Azure App Services

AKS

ACI

Docker

Kubernetes

Service Fabric

Azure Monitor

Prometheus

Grafana

Datadog

New Relic

Azure Logic Apps

Azure Data Factory

Azure Synapse Analytics

Job description

Experience:

• 7+ years of experience in DevOps and cloud engineering.
• Hands-on experience with Azure, AWS, Oracle Cloud/Google Cloud Platform.
• Strong knowledge of CI/CD tools (e.g., Azure DevOps, Jenkins, GitHub Actions, GitLab).
• Proficiency in Infrastructure as Code (e.g., Terraform, ARM, Bicep).
• Configuration management tools(e.g., Ansible, Puppet).
• Experience with containerization and orchestration (Docker, Kubernetes).

Key Responsibilities:

• DevOps & CI/CD Pipelines:
  • Design, implement, and manage CI/CD pipelines using Azure DevOps for .NET, Node.js, Android, iOS, and containerized applications.
  • Maintain and deploy to Azure App Services, Function Apps, Logic Apps, AKS, and Service Fabric.
  • Manage version control, approvals, and self-hosted agents within Azure DevOps environments.
• Infrastructure as Code:
  • Develop and manage infrastructure using Terraform, Bicep, and Terraform Cloud Workspaces.
  • Automate and provision Azure landing zones, network architectures, and multi-environment deployments.
• Cloud & Security Management:
  • Operate and secure environments in Azure, AWS, and Oracle Cloud Infrastructure (OCI).
  • Configure and manage Azure Firewalls, Palo Alto Firewalls, and Cloudflare WAF/DNS, including TLS/SSL lifecycle and load balancing.
• Containerization & Orchestration:
  • Use Docker and Helm to containerize applications.
  • Deploy and manage clusters in Azure Kubernetes Service (AKS), ECS, and ACI.
  • Monitor cloud infrastructure using Azure Monitor, Log Analytics, Prometheus, and Grafana.
• Automation & Scripting:
  • Develop automation solutions using PowerShell, Azure Logic Apps, and basic Python.
  • Implement ETL pipelines using Azure Data Factory and Azure Synapse Analytics.
• Monitoring & Observability:
  • Build observability dashboards with tools like Datadog, New Relic, and Azure Workbooks.
  • Configure alerts and analytics to support proactive infrastructure management.
• Preferred AI Skills,
  • Azure AI foundry
  • Azure Machine Learning
  • GitHub Copilot
  • AI Agents
• Experience with AWS and OCI infrastructure provisioning.
• Exposure to Office365 administration
• Leadership skills, Eagerness to Learn
• Ability to Lead team of 20-30 Engineers
• Familiarity with modern ETL patterns and data pipelines.