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Popular, broad-skill cloud DevOps role in major metro locations increases applicant density.
Cloud DevOps skills are transferable across industries but require domain-specific cloud experience.
Multiple mandatory technical requirements (enterprise AWS, Terraform, GitHub Actions, security) increase filtering rigor.
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Partner with AI development teams to design, provision, and manage cloud infrastructure on AWS and Azure using Terraform and infrastructure-as-code practices.
Build and maintain CI/CD pipelines using GitHub Actions to automate build, test, and production deployments of AI products across multiple SDLC environments.
Automate operational tasks with scripting (Python, Bash) and collaborate with security teams to identify and address threats to cloud services.
Experience designing, operating, and managing AWS cloud resources at enterprise scale in production environments.
Proficiency in Terraform for infrastructure-as-code and hands-on scripting skills in Python and Bash.
Experience with GitHub, GitHub Actions, and managing software releases through multiple SDLC environments (isolated, testing, production).
Strong understanding of networking concepts, security management for cloud deployments, and disaster recovery processes for cloud services (backup, failover, restoration).
Comfortable working cross-functionally in task-based environments supporting multiple AI development teams with infrastructure and deployment needs.
Able to read and reason about application architecture to advise on hosting, deployment, and security for cloud-based AI workloads.
Experienced in both AWS and Microsoft Azure environments with a focus on automation, reliability, and security enhancement.