Top Tech Jobs & Startup Jobs

Design, build, and operate automated network monitoring, debugging, and repair pipelines for a hyperscale datacenter fleet. Own fleet health, alerting, validation, and tooling from detection through RMA and return-to-service. Ship production network automation, support on-call incidents, and scale networks via aggressive automation and diagnostics.

Build and maintain foundational infrastructure platforms (CMDB, DCIM, asset lifecycle, monitoring, observability, automation). Deliver self-service tooling, workflow orchestration, integrations, and scalable, reliable systems while partnering with operations, security, and product teams. Drive technical direction, CI/CD, IaC, and production readiness for fleet-scale data center infrastructure.

Build and own end-to-end network fleet health, monitoring, alerting, and dashboards. Ship active debugging tooling, remote command execution, and diagnostics linking NIC-to-router paths. Automate repair pipelines from detection through RMA, ticketing, and return-to-service. Define network qualification/validation gates and ensure reliability, scalability, and operation of hyperscale datacenter networks.

Design, build, and operate the observability and control-plane for a hyperscale GPU fleet. Own data pipelines, API surface, fleet state as source-of-truth, distributed command execution, and clean hardware/site onboarding (ZTP/DHCP/DNS). Ensure production reliability, run incidents, and drive automation to eliminate toil.

Design and own core backend primitives (entities, authz, audit, orchestration), model datacenter and hardware domains, ingest vendor/geospatial/BIM formats, build durable workflow and agent platforms, and enable AI agents to operate systems safely with strong guardrails and audit trails.

Build Fluidstack's AI-integrated software stack end-to-end: supply chain automation, capacity forecasting, internal AI tooling and agent frameworks, operational automation, and datacenter design/validation. Ship features from concept to production with high ownership and measurable outcomes.

Build and operate the observability platform, data pipelines, and production control plane for a hyperscale GPU fleet. Define infrastructure API surfaces, ensure fleet state is source of truth, integrate new hardware (ZTP/DHCP/DNS), and maintain Kubernetes-based infrastructure and SLOs. Own incidents, postmortems, and system reliability.

Build and operate large-scale GPU compute fleet tooling: metrics pipelines, alerting, Redfish/BMC telemetry, repair/RMA automation, GPU qualification, and orchestration for Kubernetes and bare-metal deployments. Own reliability, scalability, incident response, and automation to minimize manual toil.

Own and scale the GPU compute fleet: build metrics, alerting, observability, and repair automation; design GPU qualification/burn-in pipelines; own Redfish/BMC tooling and firmware telemetry; run incidents, eliminate toil, and deliver end-to-end reliability and orchestration for Kubernetes and bare-metal compute at hyperscale.

Build and operate GPU fleet infrastructure: metrics, alerting, Redfish/BMC tooling, repair and qualification pipelines, automation for failure detection through RMA, and ensure reliability, scalability, and observability for Kubernetes-orchestrated and bare-metal GPU deployments.