Senior/Staff AI Infrastructure Engineer
Echelon, San Francisco
What you will do
- Design and operate sandbox lifecycle systems for agent code execution, browser work, document processing, and tool use.
- Improve sandbox startup time, density, scheduling, warm pools, caching, and resource utilization.
- Build fast, reliable filesystem primitives for ephemeral and persistent agent state, large artifacts, and concurrent workloads.
- Enforce tenant isolation, network policy, secrets boundaries, quotas, and least-privilege access.
- Make long-running agent jobs durable through checkpointing, retries, idempotency, cancellation, and recovery.
- Scale orchestration and control-plane services through rapid workload growth and unpredictable bursts.
- Build observability for resource pressure, execution failures, queue health, noisy neighbors, cost, and end-to-end latency.
- Run load tests, capacity plans, failure drills, and incident reviews; fix root causes rather than adding fragile workarounds.