Veltris - Senior Platform Engineer

Role Overview :

We are looking for a senior, hands-on platform engineer to design and build cloud-like GPU and data platforms in on-prem and hybrid environments, with a strong focus on performance, scale, and autonomy.

Key Responsibilities :

GPU-as-a-Service / GPU Virtualization :

- Design and build GPUaaS platforms for AI/ML and data workloads

- Implement GPU orchestration and scheduling using Kubernetes

- Enable GPU sharing, isolation, and quota management using technologies such as MIG, vGPU, or device plugins

- Optimize GPU utilization, performance, and cost efficiency

- Integrate GPU platforms with multi-tenant access control, billing, and observability

Required Skills & Experience :

- 8+ years of experience in infrastructure, platform, or systems engineering

- Proven experience building GPU virtualization or GPUaaS platforms

- Strong understanding of Linux internals, K8 networking, and storage systems like CEPH

- Experience with Kubernetes and containerized workloads

- Proficiency in automation and scripting (Python, Bash, Go, or similar)

- Experience building automation or autonomous systems that interact with real infrastructure

Preferred Skills :

- Experience with NVIDIA GPU technologies (MIG, vGPU, CUDA, DCGM)

- Experience with Kubernetes GPU device plugins and scheduling

- Experience with distributed storage systems (Ceph, object storage, etc.)

- Experience building multi-tenant platforms with strong isolation and security using CNIs like Cilium, Calico