Senior Edge + Backend Software Engineer

About the role

We’re building an autonomous site-level connectivity intelligence platform for enterprise environments. This role owns the on-device agent and key parts of the device-facing middleware , and also contributes broadly to our Python backend as we scale from pilots to fleets.

You’re a “full-stack systems” engineer: comfortable shipping reliable software on edge devices and building clean backend services, APIs, and data pipelines in Python.

What you’ll build

Device software (primary ownership)

• Edge agent runtime on OpenWrt/Linux:

• service lifecycle, watchdog, structured logging, resource controls

• Telemetry & probes :

• device health (CPU/mem/disk/uptime/temp where available)

• network health (interfaces, IP, routes, gateway reachability, DNS config)

• internet probes (ping/DNS/HTTPS timing, loss/latency/jitter derived)

• private cellular telemetry : RSRP/RSRQ/SINR, RAT, band/channel, cell ID/PCI, attach/detach, SIM state

• Wi-Fi telemetry : passive scans (SSID/BSSID, RSSI, channel, band, density), link stats when associated (best-effort)

• Store-and-forward reliability

• local spooling (SQLite or equivalent), bounded storage, backoff/retry, idempotent batching, backfill after outages

• Evidence bundles + symptom events

• snapshot capture on triggers, consistent schemas, versioning, compatibility discipline

• Hardware abstraction layer to support multiple device SKUs over time Middleware + backend (meaningful ownership)

• Secure ingestion APIs (Python) :

• schema validation + versioning, compression, auth, rate limiting

• Device registry & fleet health : ‍

• identity, capability discovery, last-seen/heartbeat, data completeness scoring

• Backend product primitives :

• event processing, correlation inputs, incident objects, site-level rollups

• data models and query patterns supporting “evidence-first” RCA

• Ops tooling :

• dashboards, ingest failure triage, replay tools, offline detection

• Edge config delivery :

• site profiles, enabled playbooks, cadence, feature flags Responsibilities

• Architect and implement the edge agent to be production-grade (unattended, self-healing, resilient to flaky power/backhaul).

• Own device↔cloud schemas and compatibility strategy.

• Build and operate core Python backend services and data pipelines.

• Establish testing and release discipline for edge + backend:

• unit/integration tests, network fault injection, replayable fixtures

• Drive security/reliability best practices:

• per-device identity, TLS everywhere, least privilege, safe upgrade path Required qualifications

• Strong experience building production Python systems (services, APIs, workers).

• Real-world experience shipping software on Linux edge devices / routers / IoT gateways .

• Strong networking fundamentals; can debug real failures quickly.

• Experience with telemetry pipelines: batching, retries, idempotency, persistence, backpressure.

• Operational mindset: observability, debugging, “you build it, you run it.” Preferred / nice-to-have

• OpenWrt (procd, packaging, filesystem constraints, iptables/nftables).

• Cellular: ModemManager, QMI/MBIM, AT commands, SIM/attach state.

• Wi-Fi: iw, nl80211 concepts, scan/link stats.

• Backend infra: Postgres, Redis, queues/workers, time-series/event storage.

• AWS: deploying Python services, secure ingestion patterns, metrics/logging.

• Device fleet security: keys/certs, enrollment, signed updates. ‍

Culture & operating principles (internal clarity)

• Ownership is real: if it breaks in the field, we fix it—fast—and we harden it so it doesn’t recur.

• Bias to shipping: meaningful progress weekly; small PRs; tight feedback loops.

• High standards on reliability: correctness > cleverness; explicit contracts; versioned schemas.

• No “throw it over the wall”: edge + backend are one system; we optimize the whole loop.

• Low ego, high velocity: debate the idea, not the person; be direct and respectful. What success looks like

• 30+ day unattended stability on devices in real environments.

• No data loss during outages (bounded spool + backfill works).

• Ingestion is resilient and idempotent; device registry and fleet health are reliable.

• Evidence bundles and symptom events are consistent and useful to downstream RCA. About Eino

Eino is building the world’s first Connectivity Digital Twin—a deeply technical, AI-driven simulation platform that models real-world environments and their connectivity layers. We solve hard, physical-world problems using advanced AI, high-performance backend systems, geometric computation, and rich large-scale data.

We are a real AI company: not LLM-wrapper tooling, but deep tech. Our work spans geometry processing, spatial reasoning, GPU-accelerated simulation, data modeling, and agentic AI systems. Every engineer at Eino works on highly challenging problems and collaborates with a team of exceptional, experienced builders.

We are well-funded by strong investors, have real customers, and a clear roadmap to reshape how the world understands connectivity.

This is a rare opportunity for a hungry, entrepreneurial engineer to join a rocket-ship Seed/Series A startup at the ground level, help architect the core backend, and grow into the owner of critical product infrastructure.

‍