Azure devOps

e are seeking a skilled and proactive Azure Infrastructure Principal Engineer with a strong focus on DevOps, GitLab, and cloud infrastructure to join our team. The ideal candidate has 4-6 years of experience in managing and optimizing Azure environments, with expertise in Kubernetes, DevOps practices, AKS (Azure Kubernetes Service), and a hands-on approach to Azure Virtual Machines, storage, and networking. Knowledge of Azure AI services is a plus. This role involves maintaining and scaling our infrastructure, automating workflows, and ensuring robust CI/CD pipelines to support development and deployment.
Azure Infrastructure Management
Provision and manage Azure resources such as VMs, storage accounts, and networking.
Configure and maintain Azure Kubernetes Service (AKS) for scaling applications.
Implement and manage security best practices across Azure infrastructure. DevOps Implementation
Design, build, and maintain CI/CD pipelines using GitLab CI/CD to streamline the software development lifecycle.
Collaborate with development teams to enable DevOps best practices and ensure smooth and reliable releases. Automate infrastructure and deployment tasks to improve efficiency and consistency.
Kubernetes Administration
Deploy, configure, and monitor applications within Kubernetes clusters, specifically on AKS.
Implement and manage Kubernetes-based solutions for high availability, scalability, and disaster recovery.
Azure Networking & Security
Configure virtual networks, network security groups, VPNs, and other Azure networking components.
Monitor and troubleshoot network performance issues and ensure secure, compliant connectivity. Azure AI and Storage Solutions (Nice to Have)
Experience with Azure AI services to integrate AI capabilities within applications.
Manage and optimize Azure storage solutions for data retention, accessibility, and cost-efficiency.
Monitoring & Performance Optimization
Implement monitoring tools and processes for proactive issue detection and resolution.
Optimize resource utilization and performance across Azure and Kubernetes environments.