Head of Compute Engineering

ABOUT US:

We have built a cloud object storage similar to AWS S3, now optimised for AI and compute. Our market success has already been proved by our commercial hyper-growth, based on our channel-based GTM strategy. While we build a high performance compute platform and a comprehensive suite of cloud services, we are redefining the cloud ecosystem by bridging the gap between decentralized infrastructure (DePIN), mainstream B2B cloud use cases, and most recently AI Applications — all from our HQ in Hamburg.

Find out more about us here.

ABOUT US:

We have built a cloud object storage similar to AWS S3, now optimised for AI and compute. Our market success has already been proved by our commercial hyper-growth, based on our channel-based GTM strategy. While we build a high performance compute platform and a comprehensive suite of cloud services, we are redefining the cloud ecosystem by bridging the gap between decentralized infrastructure (DePIN), mainstream B2B cloud use cases, and most recently AI Applications — all from our HQ in Hamburg.

Find out more about us here.

You will work with a small but growing team of engineers, roll up your sleeves on architecture and code, and own both the development as well as the day-to-day health of our compute infrastructure. This is the right role for a senior engineer who is ready to step fully into engineering leadership without losing their technical edge.

 

WHAT YOU WILL DO:

• Contribute directly to architecture and code, particularly on GPU provisioning, orchestration, and the customer control plane

• Lead a team of engineers across platform infrastructure, backend services, and internal tooling

• Own the engineering delivery process: planning, prioritisation, and execution in close collaboration with the founding team

• Implement and maintain observability, alerting, and on-call processes to meet customer SLAs

• Hire and onboard engineers as the team grows; act as a culture carrier for technical excellence

• Work directly with early customers to understand their GPU workload requirements and feed these into the roadmap

WHAT YOU BRING:

• 7+ years of engineering experience, with at least 1-2 years in a tech lead or engineering manager capacity within the GPU space. 

• Practical experience with GPU compute - CUDA environments, NVIDIA drivers, MIG/vGPU, or similar

• Experience with container orchestration (Kubernetes, Docker) and infrastructure-as-code (Terraform, Ansible)

• Deep understanding of GPU cluster management and GPU compute layers (bare-metal provisioning, k8s, inference software, …)

• Startup mindset: you move fast, take ownership, and are energised rather than overwhelmed by ambiguity

• Bonus: 

  • Experience in  hyperscalers or Neocloud infrastructure, or data centre deployments 

  • Deep knowledge of  job schedulers (Slurm, LSF, Ray), networking  (InfiniBand/RoCE), large-scale storage systems (VAST, Weka, DAOS, Ceph, AWS S3, Lustre, GPFS), GPU inference and fine-tuning customer workloads (vLLM, LanceDB …)

WHAT WE OFFER:

• Competitive salary coupled with direct engagement in your success through an enticing ESOP.
• Clear and transparent career progression scheme inspired by the best performing organisations incl. fast track promotion opportunity for exceptional performance to support your growth ambitions.
• Prime growth-stage company with proven revenue and a sharp edge in cloud — founded by serial entrepreneurs with multiple successful exits.
• Experienced, passionate team working with cutting-edge cloud technology.
• A vibrant office in a trendy location with free brain food and a canteen — plus a subsidized premium gym membership and monthly team meet-ups that bring the whole crew together!

OUR CULTURE: We are committed to success. We embrace individuals from all backgrounds who share the goal of building a future European cloud champion, celebrated through a richly diverse team of 15+ nationalities and 10+ languages spoken.
OUR HIRING PROCESS:

• Apply: Submit your CV or LinkedIn profile via the application form.
• First response: We review every application carefully and get back to you within a few days. If your profile is a strong match, we'll invite you to an intro call via Google Meet.
• Get to know us: We move quickly through two to four interview steps, including a meeting with our founders.
• Offer: If it's a mutual fit, you'll receive a personal offer and feedback call, followed by a written offer document.