Operational Engineer
AI in this 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
We are looking for an Operational Engineer to help make Nscale’s engineering services reliable, secure, measurable, and easy to operate.
You will build and improve the shared practices, tooling, reporting, and automations that service teams use to manage alerts, incidents, changes, service readiness, and operational health. You will work closely with infrastructure and service teams to turn recurring operational problems into durable improvements.
What you’ll do
- Help onboard services to operational tooling, including alerting, on-call, dashboards, runbooks, Jira, and service-catalog records.
- Build and maintain integrations, dashboards, reports, and automations across tools such as Grafana, PagerDuty, Jira, Backstage, and cloud billing platforms.
- Improve operational readiness by identifying gaps in ownership, alerting, documentation, recovery procedures, and service dependencies.
- Act as an incident commander: coordinate response, communications, timelines, post-incident reviews, and follow-up action tracking.
- Help make routine changes safer, faster, and more repeatable through clear processes and automation.
- Contribute to service-health, SLA, cost, patching, and operational-risk reporting.
- Help maintain accurate operational data, including service ownership, on-call coverage, runbooks, and critical dependencies.
- Work with teams to reduce manual toil and improve the quality of operational outcomes.
What you’ll bring
- 2–5 years’ experience in operations engineering, SRE, cloud infrastructure, platform engineering, or a similar role.
- Experience operating or supporting production services.
- Experience with monitoring, alerting, on-call, runbooks, and Engineering work management.
- Hands-on experience with some of Grafana, PagerDuty, Jira, Backstage, public cloud, dashboards, integrations, or workflow automation.
- Ability to use operational data to identify gaps and follow actions through to closure.
For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.
Nscale does not accept unsolicited candidate submissions from recruitment agencies.
How we rate this
Operational Engineer at Nscale rates 13 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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