
Senior Cloud Infrastructure Engineer
1 day ago
Cloud Infrastructure Specialist
- We are seeking a highly skilled Cloud Infrastructure Specialist to join our team. This role will be responsible for designing, implementing, and managing cloud-based applications using Azure DevOps.
- The ideal candidate will have hands-on experience with Terraform for Azure infrastructure automation and a strong understanding of Azure services (AKS, App Services, Logic Apps, Function Apps, etc.).
- This position requires proficiency in using Helm for Kubernetes-based deployments, experience with containerization tools like Docker and Kubernetes, and strong scripting skills in PowerShell, Bash, or Python.
- Azure DevOps certifications are a plus, but not required. The successful candidate will have 7+ years of experience in DevOps with a strong focus on Azure DevOps and CI/CD pipeline development.
Responsibilities:
- Design and Implement CI/CD Pipelines: Develop and maintain efficient and automated CI/CD pipelines for cloud-based applications using Azure DevOps.
- Automate Infrastructure Provisioning: Utilize Terraform and other Infrastructure as Code (IaC) tools to automate infrastructure provisioning and ensure consistency across environments.
- Build and Deploy Azure Infrastructure Components: Design and deploy scalable and secure Azure infrastructure components, including App Services, Function Apps, Logic Apps, and AKS.
- Implement Helm Charts: Create and implement Helm charts for Kubernetes application deployments, ensuring seamless integration with existing infrastructure.
- Integrate DevOps Practices: Collaborate with development teams to integrate DevOps practices into the software development lifecycle, ensuring smooth and efficient deployments.
Qualifications:
- Bachelor's Degree: A Bachelor's degree in Computer Science, Engineering, or related field is required.
- Experience: 7+ years of experience in DevOps with a strong focus on Azure DevOps and CI/CD pipeline development.
- Skills: Proficiency in using Helm for Kubernetes-based deployments, experience with containerization tools like Docker and Kubernetes, and strong scripting skills in PowerShell, Bash, or Python.
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