Cloud Solutions Engineer III with a strong emphasis on multi-cloud engineering (primarily Azure and GCP) who can operate at a senior, hands-on level supporting cloud infrastructure and AI/ML initiatives. It’s a hands-on Azure role where you’d be supporting cloud infrastructure and working with teams deploying AI-related applications into production. This role sits at the intersection of: Cloud platform engineering Network architecture within cloud environments AI/ML model deployment support Infrastructure automation and CI/CD The ideal candidate is someone who can own delivery in a complex environment, partner with AI/data teams, and ensure infrastructure is scalable, secure, and production-ready. Day-to-Day Responsibilities: Design, build, and support cloud infrastructure across Azure and GCP environments Partner with AI/ML teams to operationalize and deploy models into production environments Build and maintain cloud networking architecture (VPCs/VNETs, routing, connectivity, security) Develop and manage Infrastructure as Code (Terraform) for repeatable deployments Create and support CI/CD pipelines for application and ML model deployment Troubleshoot and optimize cloud performance, reliability, and cost Support cross-functional teams (DevOps, Data Science, Networking, Security) Ensure adherence to enterprise-level security and compliance standards
