WatershedNew York, NYBuilds and maintains cloud infrastructure systems on Google Cloud to support engineering teams in deploying, scaling, and observing production workloads. Requires 3+ years experience in infrastructure engineering.
The Cloud Infrastructure team owns foundational capabilities and tools that engineering teams use to orchestrate workloads, deploy, test, scale, and observe code in production. We're looking for engineers experienced in managing cloud infrastructure at scale to empower teams and deliver high-quality user experiences.
You might be a good fit if:
Location: San Francisco or New York office, 4 days per week.
Software engineer building developer tooling, AI automation, and test infrastructure to improve productivity and reliability for Watershed engineering teams.
Build and own the observability platform, control plane APIs, and fleet state management for a hyperscale GPU infrastructure powering AI compute at 10-100s of GW scale. Requires production service ownership at scale, comfort with AI coding tools, and on-call incident response.
Own end-to-end health, reliability, and automation for a massive GPU compute fleet at Fluidstack. Build metrics, repair pipelines, GPU qualification platforms, and low-level BMC/Redfish tooling while driving incidents and using AI coding tools daily. Hardware intuition and comfort with ambiguity required.
Own observability, API surface, and control plane for a hyperscale AI compute fleet. Build production-grade data pipelines, stateful APIs, and Kubernetes infrastructure that other teams depend on.
Own end-to-end health, repair automation, and qualification of a hyperscale GPU/TPU compute fleet. Build metrics pipelines, firmware tooling, and self-healing repair workflows across Kubernetes and bare metal.