Power AI workloads with AMD Instinct™ GPUs. Scale models faster with high-performance, dedicated cloud compute.
About the role
We’re looking for an Operations Engineer to join our team during an exciting phase of growth. In this role, you’ll be responsible for monitoring systems, executing runbooks, and coordinating with on-site teams and engineering when escalation is needed, working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 1–3 years of experience in a NOC, operations center, technical support, systems administration, or similar infrastructure operations role
- Experience monitoring production infrastructure using observability tools (Grafana, Datadog, Prometheus, or similar)
- Foundational Linux systems administration skills with the ability to navigate systems, read logs, and execute diagnostic commands
- Basic understanding of networking fundamentals including TCP/IP, DNS, and VLANs
- Experience following operational runbooks and structured triage procedures in a production environment
- Strong written communication skills, particularly the ability to write clear incident updates and escalation summaries under time pressure
More about this role
Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.
We’re looking for an Operations Engineer to join our team during an exciting phase of growth. In this role, you’ll be responsible for monitoring systems, executing runbooks, and coordinating with on-site teams and engineering when escalation is needed, working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact.
This is an on-site role operating on a rotating 12-hour shift schedule (days OR nights), with alternating 3-day and 4-day work weeks.
Monitor customer environments in real time across TensorWave data centers using monitoring and observability platforms
Track key health indicators including GPU utilization, node availability, network performance, storage health, and Kubernetes cluster status
Identify anomalies, degradations, and emerging issues before they...
Browse similar: Startup jobs