Lead Cloud Engineer - Data and AI (Hybrid)

7+ years in Public Cloud Services: PaaS, database services, network infrastructure (VNETs, subnets, NSGs, VPC, DNS), security, and monitoring tools. 9+ years in Public Cloud Services: PaaS, database services, network infrastructure (VNETs, subnets, NSGs, VPC, DNS), security, and monitoring tools.

Required Qualifications

• Bachelor’s degree in computer science or related analytical field, or equivalent experience.
• 7+ years in Public Cloud Services: PaaS, database services, network infrastructure (VNETs, subnets, NSGs, VPC, DNS), security, and monitoring tools.
• 2+ years in Version Control Systems: Git, Azure DevOps.
• 1+ years of experience using AI CLI tools.
• 1+ years of experience in Production Support: troubleshooting and resolving production issues.
• 1+ years of experience in Scripting and Automation: writing scripts and automating processes.

Preferred Qualifications

• 9+ years in Public Cloud Services: PaaS, database services, network infrastructure (VNETs, subnets, NSGs, VPC, DNS), security, and monitoring tools.
• 5+ years of experience with CI/CD pipelines and infrastructure as code.
• 3+ years of experience leading technical teams and projects.
• 3+ years of Cross-Platform Experience: Experience with multiple cloud providers (Azure, Google Cloud).
• 1+ years of experience in Cost Management: Demonstrated ability to optimize cloud costs and resource utilization.
• 1+ years of experience in Configuration Management: Experience with Infrastructure as code, such as Terraform.
• Advanced Cloud Certifications: Google Cloud Professional Cloud Architect, or Azure Solutions Architect Expert.
• Architectural Design Skills: Proven track record in designing scalable and resilient cloud architecture.

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