Site Reliability Engineer

About the role

About Nscale

Nscale is the GPU cloud built for AI. We run high-performance, cost-efficient infrastructure for AI-native startups and global enterprises, from bare metal up through the platform services teams actually build on. Our culture runs on ownership, accountability, and speed. We move with urgency, we tell each other the truth, and everyone here stays close to the infrastructure that makes AI work.

The Role This is a career-level SRE role for someone who wants to own systems, not just watch them. You'll take real surface area: the automation and tooling other engineers depend on, and the reliability of production services running AI and GPU workloads at scale. You'll sit in the incident rotation, and you'll be expected to make the systems you touch quieter over time.

What You'll Do • 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. What You'll Bring • 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 genuine bias toward automating the work away. • Solid command of Linux, networking fundamentals, and distributed systems. • A 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.

Nice to Have • Experience with AI or GPU workloads, or high-performance computing (HPC). • Familiarity with high-performance networking (InfiniBand, RDMA). • Kubernetes, plus virtualized or bare-metal environments. On-Call and Pace A quick note on the shape of the job. This role sits close to production, so there is an on-call rotation, and some weeks are busier than others. We share it fairly, and we treat every page as a signal worth acting on rather than just an interruption. The goal is to make the systems quieter over time, so each rotation asks less of the person carrying it. If you take ownership of what you run and like leaving it in better shape than you found it, you'll do well here. What We Offer • Competitive base plus equity, reviewed every 12 months. • Real scope early, and a progression plan built around the skills you want to sharpen. • Flexibility that treats you as an adult; we care that the work gets done, and we trust you to shape your day.