MyHorseKeeper is an end‑to‑end equine IoT platform: embedded AI devices, secure MQTT ingest, event‑driven processing, and APIs that convert sensor data into actionable alerts and automations for owners and facilities.

Role summary
We’re hiring a hands‑on lead to own end‑to‑end IoT delivery: ESP32 firmware, secure OTA, device provisioning, and the Flask/AWS services that ingest data and drive real‑time notifications. You’ll take products from breadboard to field pilot to scalable rollout.

What you’ll do

Design, implement, and harden ESP32 firmware (ESP‑IDF or Arduino) for sensors, controls, and low‑power operation.
Build reliable connectivity (Wi‑Fi/BLE and/or LoRa), MQTT messaging, and device provisioning at scale.
Implement secure OTA, logging, and telemetry; instrument for remote diagnostics and crash reporting.
Stand up/extend backend services (Flask on Ubuntu/Nginx, AWS EC2/S3/IoT Core or Mosquitto), webhooks, and Socket.IO for real‑time updates.
Define data schemas and pipelines for high‑volume time‑series data; integrate alerts and rules.
Field‑test in barns (dust, humidity, weak Wi‑Fi), iterate for robustness, and document install playbooks.
Drive security best practices (TLS, cert rotation, secure boot/flash encryption, least‑privilege IAM).
Collaborate with hardware (PCB) and app/UI folks; contribute to product specs and test plans.
Establish CI/CD, automated tests, and release cadence for both firmware and services.

Must‑haves

Strong C/C++ on microcontrollers (ESP32/FreeRTOS) and Python on Linux (Flask).
Hands‑on with MQTT, websockets (Socket.IO), and REST; comfortable with Nginx on Ubuntu.
Proven secure OTA, device provisioning, and field diagnostics experience.
Solid debugging chops: logic analyzer/oscilloscope, power profiling, RF basics.
Cloud familiarity: AWS (EC2/S3/IoT Core or equivalent), containers (Docker), GitHub Actions.
Data mindset: designing telemetry/metrics, alert thresholds, and failure budgets.
Excellent documentation and a bias for pragmatic, testable designs.

Nice‑to‑haves

Edge ML experience (e.g., TensorFlow Lite Micro) for activity/anomaly detection.
LoRa/LoRaWAN or cellular backhaul; gateway design (e.g., Linux SBC).
Basic PCB bring‑up and DFM with KiCad/Altium; enclosure and power (battery/solar) trade‑offs.
Time‑series stores and visualization (Timescale/InfluxDB + Grafana).
Equestrian/ag‑tech experience or passion for animal health/operations.
Security extras: secure boot, eFuses, hardware encryption, key management.

What success looks like (30/60/90)

30 days: Environment up, local dev + flashing pipeline working. Audit current firmware/backend. Ship a small firmware PR (sensors + MQTT) and a minor backend endpoint.
60 days: Secure OTA live; device provisioning flow documented and repeatable. Cloud ingestion hardened with metrics/dashboards and alerting.
90 days: Pilot running at 1–2 barns with reliability SLOs, install guide, and a cut of a V1 hardware/firmware spec for the next build.

Our stack
ESP32 (ESP‑IDF/Arduino), C/C++; FreeRTOS; Python (Flask); Ubuntu + Nginx; MQTT (AWS IoT Core or Mosquitto); Socket.IO; PostgreSQL/MySQL; Docker; GitHub Actions; OTA pipelines; Grafana/Prometheus (or equivalents).

Location
Orange County, CA preferred (hybrid/remote OK). Occasional field time at barns for installs and testing.

Comp & extras
Competitive salary + meaningful equity for early team members; gear budget; flexible hours; impact on a product that directly improves animal care.

Job Type: Full-time

Pay: $95,000.00 - $120,000.00 per year

Work Location: Remote

MyHorseKeeper

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