# Senior Platform Engineer - Company: [Stninc]() - Location: Remote - Remote: Yes - Team: AI - Employment type: Full Time - Posted: June 18, 2026 ## Job description ## Senior Platform Engineer Platform and software ยท 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 ## Apply [Apply on Stninc]() Canonical job page: