Cloud Engineer

Iris Software Inc.

Dadri

On-site

INR 1,500,000 - 2,300,000

Full time

3 days ago
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Job summary

Iris Software Inc. seeks a Cloud Engineer with strong Microsoft Azure and Google Cloud Platform skills to design, implement, automate, and support cloud infrastructure.

You will focus on migration, automation, and security while ensuring high availability and cost optimization. Responsibilities include deploying Azure and GCP infra, IaC with Terraform, building CI/CD pipelines, and maintaining documentation.

Qualifications

  • Hands-on experience with Microsoft Azure and Google Cloud Platform.
  • Proficient with Terraform and Infrastructure as Code.
  • Experience with Docker and Kubernetes.
  • Experience with CI/CD tools (Azure DevOps, Jenkins, GitHub Actions, GitLab CI/CD).
  • Proficient in Linux administration and scripting (Bash, Python, PowerShell).
  • ,
  • Strong networking, security, and cloud-architecture knowledge.

Responsibilities

  • Design, deploy, and manage cloud infrastructure across Azure and GCP environments.
  • Implement Infrastructure as Code (IaC) using Terraform and other automation tools.
  • Support cloud migration, modernization, and optimization initiatives.
  • Build and maintain CI/CD pipelines for application deployments.
  • Monitor cloud environments for performance, availability, security, and cost optimization.
  • Collaborate with application, security, and DevOps teams to deliver cloud-native solutions.
  • Implement backup, disaster recovery, and business continuity strategies.
  • Troubleshoot cloud infrastructure issues and ensure timely resolution.
  • Maintain cloud governance, compliance, and security best practices.
  • Prepare and maintain technical documentation and operational procedures.

Skills

Azure
GCP
CI/CD
Networking
Linux
Scripting

Tools

Azure DevOps
Jenkins
GitHub Actions
GitLab CI/CD
Terraform
Docker
Kubernetes

Job description

We are seeking a skilled Cloud Engineer with strong expertise in Microsoft Azure and Google Cloud Platform (GCP) to design, implement, automate, and support cloud infrastructure solutions. The ideal candidate should have experience in cloud migration, infrastructure automation, DevOps practices, and cloud security while ensuring high availability, scalability, and operational excellence.

Key Responsibilities
  • Design, deploy, and manage cloud infrastructure across Azure and GCP environments.
  • Implement Infrastructure as Code (IaC) using Terraform and other automation tools.
  • Support cloud migration, modernization, and optimization initiatives.
  • Build and maintain CI/CD pipelines for application deployments.
  • Monitor cloud environments for performance, availability, security, and cost optimization.
  • Collaborate with application, security, and DevOps teams to deliver cloud-native solutions.
  • Implement backup, disaster recovery, and business continuity strategies.
  • Troubleshoot cloud infrastructure issues and ensure timely resolution.
  • Maintain cloud governance, compliance, and security best practices.
  • Prepare and maintain technical documentation and operational procedures.
Required Skills
  • Strong hands-on experience with Microsoft Azure and Google Cloud Platform (GCP).
  • Experience with Azure services such as:
  • Virtual Networks (VNet)
  • Experience with GCP services such as:
  • Compute Engine
  • Cloud Functions
  • IAM
  • Strong knowledge of Terraform and Infrastructure as Code.
  • Experience with containerization technologies such as Docker and Kubernetes.
  • Hands-on experience with CI/CD tools such as Azure DevOps, Jenkins, GitHub Actions, or GitLab CI/CD.
  • Good understanding of networking, security, and cloud architecture principles.
  • Experience with Linux administration and scripting (Bash, Python, PowerShell).
Preferred Skills
  • Multi-cloud architecture and migration experience.
  • Knowledge of cloud security frameworks and compliance standards.
  • Experience with monitoring and observability tools.
  • Exposure to serverless architectures.
  • Understanding of FinOps and cloud cost optimization.
Nice to Have
  • Exposure to AI/ML platform deployments on Azure or GCP.
  • Relevant certifications such as:
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