Senior Platform Engineer

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 Position summary 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). Key responsibilities 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 Required qualifications 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 Preferred qualifications 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