Full-Time

Site Reliability Engineer

Updated on 8/1/2026

STN

STN

51-200 employees

Vendor-agnostic IT infrastructure and GPU services

No salary listed

Remote in USA + 1 more

More locations: San Francisco, CA, USA

Remote

Category
DevOps & Infrastructure (1)
Required Skills
Datadog
Graphics Processing Unit (GPU)
Kubernetes
Python
Grafana
Incident Response
High Performance Computing (HPC)
OpenTelemetry
Go
Prometheus
Observability

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Requirements
  • At least 5 years of experience in site reliability engineering, DevOps, or production engineering roles.
  • Strong programming skills in Go, Python, or both.
  • Hands-on experience operating Kubernetes-based platforms at scale.
  • Deep familiarity with observability tooling, including Prometheus, Grafana, Datadog, and OpenTelemetry.
  • Strong incident management experience, including major-incident command.
Responsibilities
  • Define and operate Service Level Objectives aligned with customer Service Level Agreements.
  • Build and maintain the observability stack, including metrics, logs, traces, and alerting.
  • Lead incident response and chair post-incident reviews.
  • Drive automation to reduce toil and improve mean time to recover.
  • Author and maintain operational runbooks alongside the Network Operations Center.
  • Manage the on-call rotation, escalation paths, and incident-management tooling.
  • Coordinate cross-functionally with the Network Operations Center, Platform Engineering, and Network Engineering.
  • Drive chaos engineering, game days, and reliability testing programs.
  • Produce Service Level Agreement performance reports in coordination with the Service Level Agreement Manager.
  • Mentor junior engineers and contribute to engineering culture.
Desired Qualifications
  • GPU or high-performance computing platform operational experience.
  • Familiarity with service-level-agreement-driven customer environments and credit calculations.
  • Experience with chaos engineering tools such as Gremlin or Litmus.
  • Published site reliability engineering content or contributions.

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 Jobs

Simplify's Take

What believers are saying

  • NVIDIA NCP program enables priority access to AI infrastructure blueprints for faster GPU One deployment.
  • Global data center expansion and new robotics manufacturing strengthen their distributed GPU-as-a-Service network scalability.
  • STN One platform aligns with HIPAA and SOC 2 standards to enhance trust in regulated industries.

What critics are saying

  • NVIDIA's new GPU Cloud pricing cuts rental costs by 35%, eroding STN's AI infrastructure revenue base.
  • Microsoft Azure offers faster GPU provisioning, displacing 20% of STN's enterprise AI clients by Q4 2026.
  • STN's single-vendor NVIDIA GPU supply creates existential risk if a 20% shortage halts delivery in H1 2027.

What makes STN unique

  • STN offers a vendor-agnostic consultant model architecting tailored IT and AI infrastructure solutions.
  • Their GPU One platform delivers secure, high-performance GPU clouds specifically engineered for production AI workloads.
  • STN provides end-to-end managed IT services combining cybersecurity, compliance, and infrastructure automation for diverse sectors.

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