Design and build cloud infrastructure for AI-driven systems, ensuring security, scalability, and reliability. Collaborate with a professional services firm to develop and deploy AI innovation. Strong production cloud engineering experience required.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Cloud Infrastructure Engineer
Salary: $165,000 – $250,000
Fully remote
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.
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.
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What you’ll be doing
- 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
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What they’re looking for
- 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
Non-negotiables
- 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
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