Senior Platform Engineer

Platform and software · shared across customers

Reports to: Director, Platform Engineering (or Chief Architect)

Location: Remote (US) or Pleasanton, CA (hybrid)

Department: Cloud Platform Engineering / GPU Platform Engineering

The Senior Platform Engineer builds and operates the multi-tenant orchestration, scheduling, and customer-facing platform layer that turns raw GPU infrastructure into a usable cloud service. This role is the software backbone of GPU One (GPUaaS).

• Design and build the orchestration layer (Kubernetes, Slurm, Run:ai, or comparable)

• Manage multi-tenant isolation including namespaces, networking, storage, and quotas

• Build customer-facing platform APIs, CLIs, web portals, and SDKs

• Implement and operate image management, GPU operator, and node provisioning automation

• Drive infrastructure-as-code and automation across the platform stack

• Partner with SRE on platform reliability, SLO definition, and observability

• Support TAM and Support engineers on customer-impacting platform issues

• Maintain customer environment templates, configuration management, and rollout tooling

• Participate in architecture review, design discussions, and technical roadmap

• Drive continuous platform improvement and reduce operational toil

• 6+ years in platform engineering, SRE, or cloud engineering at scale

• Deep Kubernetes expertise including CRDs, operators, and multi-tenant patterns

• Strong programming skills in Go, Python, or both

• Experience operating GPU clusters or AI infrastructure at production scale

• Bachelor's degree in computer science or equivalent experience

• Experience with NVIDIA GPU Operator, MIG, MPS, and NCCL operator patterns

• Familiarity with Slurm operator, Run:ai, KubeRay, or comparable AI orchestration

• Service mesh experience (Istio, Linkerd) and multi-cluster networking

• Open source contributions in the cloud-native or AI infrastructure ecosystem