Senior Platform Engineer
About the job
- At least 6 years of experience in platform engineering, site reliability engineering, or cloud engineering at scale.
- Deep Kubernetes expertise, including custom resource definitions, operators, and multi-tenant patterns.
- Strong programming skills in Go, Python, or both.
- Experience operating GPU clusters or artificial intelligence infrastructure at production scale.
- A Bachelor's degree in Computer Science or equivalent experience.
- Design and build the orchestration layer using Kubernetes, Slurm, Run:ai, or a comparable platform.
- Manage multi-tenant isolation, including namespaces, networking, storage, and quotas.
- Build customer-facing platform application programming interfaces, command-line interfaces, web portals, and software development kits.
- Implement and operate image management, GPU operator, and node provisioning automation.
- Drive infrastructure as code and automation across the platform stack.
- Partner with site reliability engineering on platform reliability, service-level objective definition, and observability.
- Support technical account management and support engineers on customer-impacting platform issues.
- Maintain customer environment templates, configuration management, and rollout tooling.
- Participate in architecture review, design discussions, and the technical roadmap.
- Drive continuous platform improvement and reduce operational toil.
- Experience with NVIDIA GPU Operator, MIG, MPS, and NCCL operator patterns.
- Familiarity with Slurm operator, Run:ai, KubeRay, or comparable artificial intelligence orchestration.
- Service mesh experience with Istio or Linkerd and multi-cluster networking.
- Open source contributions in the cloud-native or artificial intelligence infrastructure ecosystem.
About the company
STN provides IT infrastructure services for enterprise IT and AI workloads. It designs, runs, and protects technology foundations through end-to-end services like Technology Consulting, Managed IT Services, and Technology Procurement via its VAR. Its GPU One platform offers private GPU-as-a-Service for scalable AI development, and STN One handles managed security, incident response, and risk/compliance. By being vendor-agnostic, STN crafts customized, secure, high-performance environments for sectors such as financial services, healthcare, government, and engineering.
Company Size
51-200
Company Stage
N/A
Total Funding
N/A
Headquarters
N/A
Founded
2016
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Simplify's Take
What believers are saying
- STN listed on CRN Solution Provider 500 in 2026 for the fourth straight year.
- STN launched early access for NVIDIA B300 on September 4, 2026, signaling demand.
- STN states active GPU One locations in Silicon Valley, Los Angeles, and Chicago.
What critics are saying
- STN's 2026 vision spans robotics, autonomous data centers, and global AI utility, diluting focus.
- GPU One still relies on colocation providers; Missouri, South Carolina, and Texas remain under development.
- STN's growth narrative depends on NVIDIA supply access and partner status, both concentrated dependencies.
What makes STN unique
- STN runs GPU One on validated NVIDIA H200, B200, B300, and GB300 architecture.
- STN pairs managed IT, cybersecurity, procurement, and GPU cloud under one operating model.
- STN markets vendor-agnostic roadmapping for regulated buyers in healthcare, finance, and government.
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Benefits
Remote Work Options
Hybrid Work Options