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A lot of cloud roles are about scale. This one is about scale and trust. I'm working with a professional services firm building an AI Innovation team that is taking large-scale document and workflow systems into production using modern AI tooling, all within an environment where security, privacy, and governance are non-negotiable. They're hiring a Cloud Infrastructure Engineer to own the cloud foundation behind this. Not just supporting it, building it. This is a fully remote role. You'll be responsible for designing and running the infrastructure that allows AI systems to move from experimentation into production, processing millions of sensitive documents across secure, controlled environments. It sits across cloud engineering, platform, security, and data, with real ownership over how everything is built and operated.
Job Responsibility:
Build and operate cloud infrastructure for AI-driven systems
Design CI/CD pipelines and containerized platforms (Docker, Kubernetes)
Own infrastructure as code (Terraform / Bicep)
Manage Databricks environments in Azure for large-scale processing
Implement monitoring, logging, and operational tooling
Support multi-cloud environments (Azure, AWS, GCP)
Help scale AI systems from prototype to production
Manage API usage, cost control, and governance across AI providers
Ensure secure handling of highly sensitive client data
Requirements:
Strong production cloud engineering experience (Azure / AWS / GCP)
Hands-on experience with CI/CD, containers, and IaC
Solid grounding in cloud security, IAM, and data protection
Experience running production systems with reliability in mind
Exposure to high-volume data or document-heavy environments
Comfortable working in regulated or security-conscious settings
5+ years in production cloud infrastructure roles
Experience supporting AI or data-intensive systems in production
Strong understanding of cloud, security, and platform engineering fundamentals
Ability to operate independently in complex environments