Industrial Automation & IoT Engineer
Hire an industrial automation and IoT engineer
Sensors are cheap now. The expensive part is turning a telemetry firehose into an alert that reaches the right person before the damage is done — and not one alert per reading, which trains everyone to ignore them.
The part most people get wrong
Most industrial monitoring projects fail one of two ways: they alert on everything until staff mute the channel, or they alert on nothing until a failure has already cost money. The engineering is in the thresholds, the debounce logic, and the escalation path — not in reading the sensor.
What you get
- →MQTT and HTTP telemetry ingest with signature validation, built on FastAPI workers that survive a flaky field connection.
- →Threshold alerting that fires to WhatsApp before anyone has to physically check — Famacon replaced a dawn walk across cattle fields.
- →AI anomaly detection on live sensor streams so failures surface while they are still cheap to fix — LINCE catches water-treatment drift that paper reports found days later.
- →GPS device integration including Eview pendants, with location, battery and fall-detection events fanned out to a call center and family members simultaneously.
- →Debounce and hysteresis logic so a sensor bouncing around a threshold does not generate 400 alerts.
- →Escalation chains — if nobody acknowledges in N minutes, it goes to the next person, then the next.
- →Real-time dashboards with historical charting, so an operator can see whether today is abnormal or just Tuesday.
- →Offline-tolerant buffering — field devices queue readings and flush when connectivity returns, nothing is silently lost.
Proof — shipped and in production
Sensu Angela
Elderly SOS pendants used to call the family. Now they ping a 24/7 call center and every family member in real time, live on iOS and Android.
Famacon Livestock Monitor (M2)
Cattle fields were checked on foot at dawn. Sensor telemetry over MQTT/HTTP fires WhatsApp alerts when a threshold breaks, before anyone leaves the house.
Famacon Phase 1
The first pilot for cattle-field monitoring. Backend, WhatsApp notifications and per-user data separation, before the M2 platform scaled it up.
LINCE Water Monitoring
Water treatment failures were found after the damage, through paper reports. AI now surfaces anomalies from live data while they are still cheap to fix.
Frequently asked
Do you work with the hardware itself, or only the software side?+
The software side — ingest, processing, alerting, dashboards, escalation. I integrate with hardware that already speaks MQTT, HTTP, Modbus or a vendor API. I do not design PCBs or manufacture devices. For Famacon the sensors were sourced by the client; for Sensu the Eview GPS pendants were off-the-shelf. That split keeps the project moving.
What happens when the field connection drops?+
Devices buffer locally and flush on reconnect, and the ingest layer deduplicates by device ID plus timestamp so a replayed batch does not double-count. The dashboard also shows last-seen per device, so a silent sensor is itself an alert rather than an absence nobody noticed.
How do you stop alert fatigue?+
Hysteresis and debounce on every threshold, severity tiers so routine deviations do not page anyone at 3am, and escalation chains rather than broadcast. The goal is that when a message arrives, someone actually reads it.
This role is also called
- industry automation expert
- industrial IoT engineer
- telemetry engineer
- remote monitoring developer
- SCADA integration developer
- embedded systems integrator
Start with a written brief
Describe what the business is losing today and what the target outcome looks like. I come back with a concrete plan against that document — in English, Spanish, Portuguese or Polish.
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