
Cloud Infrastructure Architect
16 hours ago
This role is focused on leading the design and implementation of cloud infrastructure across various environments, with a strong emphasis on Azure.
Main Responsibilities:
- Design and implement cloud infrastructure across multiple platforms, including Azure, AWS, and GCP.
- Develop and deploy scalable, secure, and efficient cloud-based solutions using modern DevOps practices.
- Lead cloud migration and modernization initiatives with an emphasis on Azure technologies.
- Maintain and improve existing cloud infrastructure to ensure optimal performance and security.
- Implement and manage containerized workloads using Kubernetes orchestration.
- Establish and enforce cloud security standards and best practices across environments.
- Build and maintain continuous integration and delivery pipelines for automated deployments.
- Provide technical guidance and mentorship to junior engineers.
- Collaborate with cross-functional teams to drive business outcomes through effective cloud strategy and execution.
Requirements:
- 8+ years of experience in cloud engineering/architecture roles.
- Strong hands-on experience with Azure, plus working knowledge of AWS and GCP platforms.
- Proficiency with Kubernetes orchestration, particularly AKS, with knowledge of EKS.
- Experience with container environments, including Karpenter, ArgoCD, and Istio.
- Demonstrated expertise in cloud security principles and implementations.
- Advanced knowledge of cloud networking concepts and solutions.
- Proficiency with GitHub and GitHub Actions for CI/CD workflows.
- Experience with infrastructure as code tools, particularly Terraform, Azure ARM templates, and AWS CloudFormations.
- Excellent communication and collaboration skills.
Preferred Qualifications:
- Azure certifications (Azure Solutions Architect, DevOps Engineer, Security Engineer).
- Experience with Azure governance and compliance frameworks.
- Knowledge of hybrid cloud architectures.
- Background in supporting enterprise-scale applications.
- Experience with Azure monitoring and observability tools (such as DataDog).
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