Senior AI Infrastructure Engineer to design and operate the secure execution substrate for AI agents at Echelon. You will scale ephemeral sandboxes, optimize filesystem and startup performance, and ensure tenant isolation and reliability under load.

What you'll own - Design and operate sandbox lifecycle systems for agent code execution, browser automation, 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.

What you bring - 5+ years building production infrastructure, distributed systems, developer platforms, or execution runtimes. - Hands-on ownership of containerized or virtualized workloads in a multi-tenant production environment. - Strong Linux systems knowledge across processes, filesystems, networking, resource isolation, and performance debugging. - Experience with Kubernetes or a comparable sch

Senior AI Infrastructure Engineer to design and operate the secure execution substrate for AI agents at Echelon. You will scale ephemeral sandboxes, optimize filesystem and startup performance, and ensure tenant isolation and reliability under load.

What you'll own - Design and operate sandbox lifecycle systems for agent code execution, browser automation, 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.

What you bring - 5+ years building production infrastructure, distributed systems, developer platforms, or execution runtimes. - Hands-on ownership of containerized or virtualized workloads in a multi-tenant production environment. - Strong Linux systems knowledge across processes, filesystems, networking, resource isolation, and performance debugging. - Experience with Kubernetes or a comparable sch