Cloud Infrastructure Engineer – AWS / ML Infrastructure

About the role

We are supporting a Munich-based deep-tech company building a distributed sensing and AI platform. Their hardware collects real-world sensor data, which needs to be stored, processed, managed and connected through a robust cloud infrastructure.

They are now looking for an internal Cloud Infrastructure Engineer to own their AWS cloud setup from first principles. External partners have helped define proposals and support DevOps execution, but the company now needs someone internally who can own the architecture, strategy and long-term knowledge base.

What you’ll do

• Own the AWS cloud infrastructure strategy and architecture.
• Build cloud infrastructure from the ground up.
• Define scalable, secure and maintainable cloud systems.
• Work with Terraform or similar infrastructure-as-code tooling.
• Coordinate external cloud/devops partners and review their work.
• Take ownership of cloud decisions around EU data sovereignty and infrastructure design.
• Support ML/data infrastructure for sensor data and AI workflows.
• Build internal knowledge so cloud ownership does not sit only with external contractors.
• Decide what should be built internally versus delegated externally.

What they’re looking for

• Strong AWS infrastructure experience.
• Experience building cloud infrastructure from scratch, not just maintaining a small part of an existing system.
• Strong Terraform / IaC experience.
• Good DevOps fundamentals.
• Comfortable owning architecture, strategy and hands-on implementation.
• Experience working with external engineering partners or contractors.
• Ability to think like a builder: practical, hands-on, and comfortable creating structure where little exists yet.

Nice to have

• ML infrastructure or MLOps experience.
• Experience with sensor data, IoT data or edge-connected devices.
• Experience with EU sovereignty, security or regulated data environments.
• Startup or early-stage company experience.