Senior SRE: Automate Reliability for AI/GPU Platform

Nscale; Seattle (WA); On-site; USD 130,000 - 200,000; Full time

Job summary

Nscale, the GPU cloud built for AI, seeks a career-level SRE to own the automation and tooling that keeps our platform running at scale. You’ll sit in the incident rotation, drive root cause analysis, and push improvements that quiet production systems over time.

In this role you’ll define SLOs/SLIs, build health dashboards, troubleshoot live issues, and collaborate with Engineering, Networking, and Infrastructure to raise reliability across the stack.

Qualifications

• 3–6 years in SRE, systems engineering, or software engineering with production experience.
• Strong programming skills (Python, Go, or similar) and automation bias.
• Solid Linux, networking fundamentals, and distributed systems.
• Proven ability to troubleshoot live production issues and own fixes.
• Fluency with monitoring, observability, metrics, logs, dashboards, and alerts.
• Comfort in fast-moving environments with shifting priorities.

Responsibilities

• Build and own automation and tooling to keep the platform running.
• Define and maintain SLOs, SLIs, and health dashboards.
• Lead incident response; perform root cause analysis and post-incident reviews.
• Investigate performance and reliability issues across Linux, networking, distributed services; fix at source.
• Partner with Engineering, Networking, and Infrastructure to raise reliability across the stack.
• Improve availability, scalability, and efficiency through code.

Skills

Python

Go

Automation

Linux

Networking

Observability

Distributed systems

Troubleshooting

Production systems

Tools

Kubernetes

Bare-metal environments

InfiniBand

RDMA

Job description

Nscale, the GPU cloud built for AI, seeks a career-level SRE to own the automation and tooling that keeps our platform running at scale. You’ll sit in the incident rotation, drive root cause analysis, and push improvements that quiet production systems over time.

In this role you’ll define SLOs/SLIs, build health dashboards, troubleshoot live issues, and collaborate with Engineering, Networking, and Infrastructure to raise reliability across the stack.