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CloudAI Technologies is seeking an experienced systems administrator to own cloud and hybrid infrastructure in a multi-cloud environment.
You will automate provisioning with PowerShell/Python and Terraform, manage Docker/Kubernetes-based workloads, and enforce security and identity governance across Azure and AWS platforms.
Cloud and Hybrid Infrastructure Management: Administer, configure, and maintain Microsoft Azure and AWS environments. This includes managing virtual machines, networking, storage, and identity services across both cloud and on-premises infrastructure.
Automation and Scripting: Develop and maintain automation scripts using tools like PowerShell, Python, and Terraform to provision infrastructure, automate routine tasks, and enforce configuration consistency. Implement Infrastructure as Code (IaC) principles to manage infrastructure efficiently.
AI for Operations (AIOps): Utilize AI-powered monitoring and log analysis platforms such as Splunk and Azure Monitor to proactively detect system anomalies, predict potential failures, and automate incident response.
Containerization and Orchestration: Deploy and manage containerized applications using Docker and orchestrate them with Kubernetes to ensure scalability and high availability.
Security and Compliance: Enforce security policies across all platforms. This includes managing identity and access controls with Azure Active Directory and modern IAM solutions, ensuring data encryption, and conducting regular security audits.
Disaster Recovery and Business Continuity: Design, implement, and test modern disaster recovery and business continuity plans for both cloud-native and on-premise systems to ensure minimal downtime and data loss.
Virtualization and Server Administration: Administer VMware vSphere and Windows Server environments, ensuring they are patched, secure, and configured for optimal performance.
Collaboration and Improvement: Work closely with development and security teams in a DevOps and DevSecOps culture to streamline workflows and implement continuous integration/continuous delivery (CI/CD) pipelines. Provide technical expertise and mentorship to junior staff.
System Intelligence and Machine Learning: Collaborate with data science teams to integrate intelligent agents and machine learning models for infrastructure optimization, capacity planning, and automated resource allocation.