Senior SRE: Lead Reliable AI Platform & Mentor the Team

Nscale; Houston (TX); On-site; USD 170,000 - 265,000; Full time

Benefits offered by this job

Competitive base + equity

Real ownership from the start

Flexible work culture

Job summary

Nscale, a GPU cloud for AI, seeks a senior SRE to raise the reliability bar across the platform. You will own the hardest problems, influence architectural decisions, and mentor others while maintaining an on-call rotation that becomes lighter over time.

You’ll drive SLOs, observability, incident processes, and tooling that reduces toil. This is hands-on ownership with real impact on production at scale in a data center or cloud environment.

Qualifications

• 6-10 years in SRE or related roles with ownership of production at scale.
• Strong software engineering in Python or Go.
• Deep Linux, networking and distributed systems knowledge.
• Hands-on with Kubernetes and bare-metal or virtualization.
• Experience running AI or GPU workloads or HPC.
• SLOs, observability, incident process, on-call practices.
• Senior voice in incidents and design reviews under pressure.
• Able to raise colleagues and drive improvements.

Responsibilities

• Own reliability for critical production services end to end; set direction.
• Grow the team and mentor SREs through design reviews and debriefs.
• Set standards: SLO framework, incident process, on-call practices.
• Participate early in design reviews and architecture decisions.
• Lead the hardest incidents and root cause analysis.
• Build tooling and automation to remove toil for the team.

Skills

Python

Go

Linux

Networking

Distributed systems

Kubernetes

AI workloads

On-call management

Incident response

Mentoring

Job description

Nscale, a GPU cloud for AI, seeks a senior SRE to raise the reliability bar across the platform. You will own the hardest problems, influence architectural decisions, and mentor others while maintaining an on-call rotation that becomes lighter over time.

You’ll drive SLOs, observability, incident processes, and tooling that reduces toil. This is hands-on ownership with real impact on production at scale in a data center or cloud environment.