Posted 8 months ago. This role may no longer be accepting applications.

Azure DevOps Engineer

1 - 7 years

Pune All india

Posted:8 months ago

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Job Description

You will be working as an Azure-devops-services with our client, a global technology consulting and digital solutions company. The company has a strong presence in over 30 countries and caters to more than 700 clients. As an Azure-devops-services, you will be responsible for managing Infrastructure as Code (IaC) using Terraform for multi-cloud environments. Your role will involve designing, deploying, and managing PaaS services critical for AI workloads on Azure and GCP platforms. Key Responsibilities: - Hands-on experience in Infrastructure as Code (IaC) using Terraform for multi-cloud environments. - Designing, deploying, and managing PaaS services critical for AI workloads on Azure & GCP platforms. - Working with AI platforms and services on Azure and GCP. - Understanding networking concepts across Azure and GCP. - Infrastructure automation using Terraform modules and state management. - CI/CD integration for IaC deployments. - Strong understanding of cloud security, identity, and compliance. - Optimizing cost and performance across multi-cloud environments. - Collaboration with cross-functional teams. Qualifications Required: - Minimum 3+ years of experience in IaC designing, deploying, and managing PaaS services critical for AI workloads on Azure & GCP platforms. - Minimum 1+ years of experience working with AI platforms and services. - Good understanding of networking concepts across Azure and GCP. - Certifications in Terraform Associate, Azure Solutions Architect, or GCP Professional Cloud Architect preferred. - Experience with GitOps workflows and container orchestration preferred. - Familiarity with AI-driven workloads and data pipelines is a plus. This is a Contract to Hire position based in Pune/Mumbai with a hybrid work mode. If you are looking for a challenging role where you can leverage your expertise in Azure, GCP, Terraform, and AI services, this opportunity is for you. You will be working as an Azure-devops-services with our client, a global technology consulting and digital solutions company. The company has a strong presence in over 30 countries and caters to more than 700 clients. As an Azure-devops-services, you will be responsible for managing Infrastructure as Code (IaC) using Terraform for multi-cloud environments. Your role will involve designing, deploying, and managing PaaS services critical for AI workloads on Azure and GCP platforms. Key Responsibilities: - Hands-on experience in Infrastructure as Code (IaC) using Terraform for multi-cloud environments. - Designing, deploying, and managing PaaS services critical for AI workloads on Azure & GCP platforms. - Working with AI platforms and services on Azure and GCP. - Understanding networking concepts across Azure and GCP. - Infrastructure automation using Terraform modules and state management. - CI/CD integration for IaC deployments. - Strong understanding of cloud security, identity, and compliance. - Optimizing cost and performance across multi-cloud environments. - Collaboration with cross-functional teams. Qualifications Required: - Minimum 3+ years of experience in IaC designing, deploying, and managing PaaS services critical for AI workloads on Azure & GCP platforms. - Minimum 1+ years of experience working with AI platforms and services. - Good understanding of networking concepts across Azure and GCP. - Certifications in Terraform Associate, Azure Solutions Architect, or GCP Professional Cloud Architect preferred. - Experience with GitOps workflows and container orchestration preferred. - Familiarity with AI-driven workloads and data pipelines is a plus. This is a Contract to Hire position based in Pune/Mumbai with a hybrid work mode. If you are looking for a challenging role where you can leverage your expertise in Azure, GCP, Terraform, and AI services, this opportunity is for you.

Skills Required

cloud security cost optimization collaboration terraform expertise azure gcp ai services networking knowledge infrastructure automation cicd integration gitops workflows container orchestration aidriven workloads data pipelines

Work Mode

On-site

Job Type

Full Time

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