About the Job
Echelon is building the AI platform for Business Operations. Our goal is to automate the knowledge work of BizOps so one exceptional operator can deliver the leverage of an entire team, as Ramp and Rippling have done for Finance and HR.
Our platform combines passive process mining with a living ontology that maps how work happens across people, systems, documents, decisions, and outcomes. It connects structured and unstructured data trapped in fragmented, duplicative, and legacy enterprise systems, then turns that context into automated workflows a...
We are an early-stage company tackling a difficult technical problem at high speed. Engineers work directly with founders and customers, make decisions with incomplete information, ship production systems, and own the results. The pace, rate of change, and standards are high.
Required Skills & Abilities
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 scheduler, infrastructure as code, and cloud primitives on AWS or Azure.
Strong programming ability in Go, Rust, TypeScript, Python, or another systems-oriented language.
Experience designing for retries, idempotency, backpressure, load shedding, observability, and safe rollouts.
Security instincts appropriate for executing untrusted or model-generated work.
Firecracker, gVisor, Kata Containers, namespaces/cgroups, seccomp, or eBPF.
Sandbox products such as E2B, Modal, Fly Machines, or custom ephemeral compute platforms.
FUSE, overlay filesystems, content-addressed storage, snapshotting, distributed caches, or object storage.
Agent runtimes, code interpreters, browser automation, remote development environments, or CI execution systems.
BYOC, private networking, customer-managed deployments, or enterprise security reviews.
Inngest, Temporal, Kafka, NATS, or other durable workflow and event systems.
