Senior Platform Engineer
STN•San Francisco Bay Area, CA
•Remote
About The Position
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).
Requirements
- 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
Nice To Haves
- 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
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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
