90K–105K EUR / year
AI Infrastructure Engineer
DevOpsRemote — worldwide
Published on 2026-10-06
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.
About this role
As an AI Infrastructure Engineer, you will lead technical deployments for GPU AI Cloud customers, ensuring optimized configurations and self-sufficiency. You will develop documentation to scale knowledge and collaborate across teams to improve infrastructure solutions for customers.
About the company
vCluster Labs builds virtual Kubernetes clusters that let platform teams create isolated environments on top of shared clusters for engineering and AI workloads.
What you'll do
- Lead technical deployments for GPU neocloud and AI Factory customers
- Configure and troubleshoot bare metal GPU infrastructure
- Deploy and validate Kubernetes and vCluster
- Work alongside customer teams for self-sufficiency
- Document reusable playbooks and deployment architectures
- Collaborate with Engineering and Product for feedback
- Join Sales in pre-sales processes for infrastructure
What we're looking for
- 5+ years of experience in production Kubernetes
- Practical knowledge of NVIDIA GPU Operators and CUDA tooling
- Deep understanding of CNI plugins and networks
- Experience with persistent volume configuration and distributed systems
- Comfort in fast-moving ambiguous environments
- Modern tech mindset
Nice to have
- Experience with Bash, Python, or Go
- Relevant Kubernetes certifications like CKA
- Familiarity with AI/ML tooling for GPU scheduling
- Experience contributing to documentation
Benefits
- Competitive salary including equity
- Premium health, dental, and vision insurance
- Flexible working schedule
- Workplace flexibility