Senior Staff Software Engineer, Cloud Availability Platform

About Crusoe

Crusoe is on a mission to accelerate the abundance of energy and intelligence as a vertically integrated AI infrastructure company, owning and operating each layer of the stack from electrons to tokens.

Overview

Crusoe operates one of the world's largest managed GPU fleets. The Cloud Availability Platform team builds the operating system for the AI datacenter—a control plane that senses, reasons about, and acts on the entire fleet to deliver fleet autonomy at scale.

What You'll Do

• Design and build core platform services: RBAC, tenancy, workflow engine, policy engine, and state reconciler driving fleet actions safely at scale.
• Design the public face of the platform: API gateway, resource model, and versioned API contracts.
• Build SDKs, workflow templates, golden paths, developer portal, and micro frontend framework.
• Build the inventory and topology graph as the fleet's source of truth, and pipelines to eliminate metadata drift.
• Build site, GPU, and network agents and the event bus for fleet telemetry and commands.
• Deliver the platform roadmap: foundation layer pilot, platform-managed site deployment, zero-downtime firmware upgrades, automated RMA, and 100K+ GPUs managed with MTTD < 60s and MTTR < 30m.
• Work alongside embedded engineers from fleet and production engineering to turn operational expertise into platform services.

Requirements

• 10+ years building distributed systems, control planes, or infrastructure platforms.
• Strong software engineering skills in Go, Python, or Rust.
• Experience building platforms other engineers consume: APIs, SDKs, or developer tooling.
• Depth in at least one of: workflow/orchestration engines (Temporal or similar), event-driven architectures, graph data models, policy/rules engines, or reconciliation-based control loops (Kubernetes operator patterns).
• Experience running what you build and carrying a pager for dependency platforms.
• Systems thinking across the hardware/software boundary.
• Bachelor’s degree in Computer Science, Data Science, or a closely related technical field.

Bonus Experience

• Internal developer platforms: API gateways, service catalogs, Backstage-style portals, micro frontends.
• GPU or bare-metal fleet infrastructure: DCGM, Redfish/IPMI, firmware lifecycle.
• High-cardinality observability platforms (per-GPU telemetry at fleet scale).
• InfiniBand or RoCE fabrics.
• AI agents applied to infrastructure triage and autonomous remediation.