
Platform Engineer (Bare Metal) - Entry to Mid-level
Job Description
ABOUT US:
Impossible Cloud is a fast-growing B2B cloud company headquartered in Hamburg, Germany. We have built a cloud object storage solution comparable to AWS S3, purpose-built and optimised for AI and compute workloads. Our commercial hyper-growth speaks for itself, powered by our channel-first go-to-market strategy.
We are now expanding beyond storage: we are building a high-performance compute platform, offering an end-to-end solution from GPU infrastructure to full GPU platform software stack. In doing so, we are redefining the cloud ecosystem by bridging the gap between decentralised infrastructure (DePIN), mainstream B2B cloud use cases, and AI applications.
Find out more about us here.
Please note that we can only consider candidates who have a valid, unrestricted work permit for the EU.
WHAT YOU WILL DO:
- Provision, deploy, and configure physical servers and networking components to support cloud infrastructure.
- Design and implement optimized networking and virtualization solutions across diverse hardware platforms, focusing on latency, throughput, and reliability.
- Configure and optimize bare-metal servers as well as hypervisors and management of virtual machines (VMs) across diverse hardware vendors.
- Automate the provisioning, scaling, and maintenance of hardware infrastructure to ensure rapid and seamless expansion.
- Contribute to a cloud-like infrastructure ecosystem by writing and reviewing infrastructure automation code, enhancing internal tooling, and sharing best practices.
WHAT YOU BRING:
- Good knowledge of Linux systems, including customization, scripting, and system optimization.
- Experience with L2/L3 networking concepts, including redundancy and load-balancing, and with performance optimization (latency, throughput).
- Familiarity with IPMI, Redfish, iDRAC, and other hardware management tools.
- Good scripting skills with Shell, Bash, or similar languages.
- Bonus points:
- Experience with Kubernetes deployment and operation.
- Knowledge of hardware supply chain, vendor management, and capacity planning.
- Experience with hypervisors (e.g., KVM) and managing virtual machines (VMs) at scale.