Generative AI Cloud Engineer

Key Responsibilities  Cloud Architecture Design: Develop and maintain scalable, secure cloud solutions that support complex deployments, including those using AI and machine learning models. Design architectures that optimize for cost, performance, and security.  Service Management: Implement, monitor, and manage cloud services across multiple platforms (AWS, Azure, Google Cloud), including compute, networking, storage, and more. Ensure optimal allocation and utilization of cloud resources.  Automation: Automate cloud deployments and configuration management using tools like Terraform, Ansible, and Kubernetes to enhance operational efficiencies and reduce the potential for human error.  Security and Compliance: Apply and maintain security standards across the cloud infrastructure, including managing firewalls, VPNs, and access controls. Ensure compliance with industry regulations and data protection standards.  Performance Monitoring: Monitor cloud infrastructure performance, implement strategies for logging, monitoring, and alerting to detect and resolve issues promptly.  Disaster Recovery and Backup: Design and implement disaster recovery plans to ensure continuous availability and rapid recovery of applications in case of failure.  Cost Optimization: Monitor and optimize spending to ensure efficient use of cloud resources. Use tools and strategies to reduce costs without compromising on performance or security.  Collaboration and Support: Work closely with IT teams, developers, and business units to provide cloud solutions and support. Educate team members on cloud technologies and best practices. Educational Qualifications  Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.  Professional certifications related to cloud architecture, such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, or Google Professional Cloud Architect.