Senior SRE: Own AI/GPU Infra, Automation & Reliability

Nscale; San Francisco (CA); On-site; USD 130,000 - 200,000; Full time

Benefits offered by this job

Equity

Career progression plan

Flexible schedule

Job summary

Nscale, the GPU cloud for AI, is seeking a career-level SRE to own production systems and the automation that keeps them running at scale. You’ll be responsible for reliability of AI workloads, participate in incident rotations, and drive improvements that quiet the surface area over time.

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

Qualifications

• 3–6 years in SRE, systems engineering, or software engineering, including time running production in a data center or cloud environment.
• Strong programming skills (Python, Go, or similar) and a bias toward automating the work away.
• Solid command of Linux, networking fundamentals, and distributed systems.
• Track record of troubleshooting live production issues and owning the fix through to the retro.
• Fluency with monitoring and observability; metrics, logs, dashboards, and alerting.
• Comfort in a fast-moving environment where priorities shift and you fill gaps without waiting to be asked.

Responsibilities

• Build and own the automation and tooling that keeps the platform running; treat operational toil as a bug to be fixed, not a fact of life.
• Define and maintain SLOs, SLIs, and the dashboards that make service health obvious at a glance.
• Take point during incidents; troubleshoot under pressure, drive root cause analysis, and run post-incident reviews that actually change the system.
• Investigate performance and reliability problems across Linux, networking, and distributed services, then fix them at the source.
• Partner with Engineering, Networking, and Infrastructure teams to raise the reliability bar across the stack.
• Improve availability, scalability, and efficiency through code, not manual effort.

Skills

Python

Go

Linux

Networking

Distributed systems

Monitoring

Incident response

On-call

Tools

Kubernetes

InfiniBand

RDMA

Bare-metal/Virtualization

Job description

Nscale, the GPU cloud for AI, is seeking a career-level SRE to own production systems and the automation that keeps them running at scale. You’ll be responsible for reliability of AI workloads, participate in incident rotations, and drive improvements that quiet the surface area over time.

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