Senior Platform Engineer — GPU Cloud Orchestration

STN Incorporated; United States; Hybrid; USD 140,000 - 180,000; Full time

Job summary

STN Incorporated seeks a Senior Platform Engineer to design and operate the multi-tenant platform layer that turns GPU infrastructure into a usable cloud service. This role will own orchestration and automation across Kubernetes, Slurm, and Run:ai to support a scalable GPU cloud offering.

The position reports to the Director, Platform Engineering and requires 6+ years in platform engineering, deep Kubernetes expertise, and strong Go/Python coding skills. Remote US or hybrid in Pleasanton, CA.

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.

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

Skills

Go programming

Python programming

SRE / cloud engineering

Education

Bachelor's degree in computer science or equivalent

Tools

Kubernetes

NVIDIA GPU Operator

Slurm

Run:ai

KubeRay

Istio

Linkerd

Job description

STN Incorporated seeks a Senior Platform Engineer to design and operate the multi-tenant platform layer that turns GPU infrastructure into a usable cloud service. This role will own orchestration and automation across Kubernetes, Slurm, and Run:ai to support a scalable GPU cloud offering.

The position reports to the Director, Platform Engineering and requires 6+ years in platform engineering, deep Kubernetes expertise, and strong Go/Python coding skills. Remote US or hybrid in Pleasanton, CA.