Teams at Submer

Design, build, and operate large-scale, low-latency telemetry pipelines and observability systems for GPU cloud and edge infrastructure. Instrument compute, storage, networking, and AI workloads; implement metrics, logging, tracing, SLOs, alerting, dashboards, anomaly detection, and integrate telemetry into operational workflows. Lead observability initiatives, collaborate with platform teams, and support on-call responsibilities.

Own design, deployment, and operation of high-performance AI GPU fabrics and datacenter networking (RoCE, RDMA, BGP/ECMP, EVPN/VXLAN). Provide staff-level architecture, cross-team technical leadership, incident escalation, automation (Python/Bash), and operational standards for global datacenter and edge deployments, including inter-datacenter transport and security.

Hands-on engineer responsible for deploying, validating, and operating GPU cloud infrastructure in datacenters. Duties include rack-and-stack, cabling and optics validation, BIOS/firmware and GPU/DPU bring-up, network and storage integration, platform stack installation, acceptance testing, runbook creation, Day-2 maintenance, observability validation, and cross-team coordination with vendors and engineering for production readiness.