Edge & Machine Integration Engineer (PLC to Cloud), Freelance, m/f/d

Job description

FALU AG in Rüti (ZH) builds and sells swab production machines that run in plants around the world. With FALU PMAS, our cloud based production monitoring and assistance system, every machine reports its state every five seconds. Customers get live dashboards, shift KPIs, downtime analytics and automatic alerts in the browser. The first customer went live in September 2026 with eight machines, and more plants are lined up. The cloud side of PMAS is built and running in production: broker, ingestion service, databases, web app. The path from the PLC inside the machine to the MQTT broker is covered by one engineer who designed and built it. With more machines and more plants coming, that one person is no longer enough. We are looking for a freelancer who adds capacity on exactly this path: PLC software, Raspberry Pi edge devices, site gateway, broker connection. This is a permanent role that we staff on a freelance basis: no project end date, a long term engagement with about 1 week of work per month, with more when a rollout is on. You will work directly with our existing integration engineer, our inhouse engineering team and the CEO. Tasks You work on everything between the machine PLC and the MQTT broker, alongside the engineer who built the current setup. Which parts you take over completely and which you share depends on your strengths. Concretely: PLC and machine side Bring the PMAS message format into the CB1 machine software (Siemens S7, TIA Portal V18 with HMI) and keep it in sync with the payload contract: cumulative counters, machine status, error codes, timestamps from the PLC clock. Decide and implement how data leaves the PLC: MQTT publishing from the PLC itself, or a read on the edge device (S7 protocol or OPC UA) that publishes on its behalf. Pick one, justify it, standardise it. Manage PLC software versions across the fleet, including safe update and rollback procedures for machines already running at customers. Ensure clock discipline on the PLCs (NTP, local time zone per plant), since every duration KPI is computed from PLC timestamps. Edge devices and site gateway Develop and maintain the software on the Raspberry Pi based edge devices next to each machine: MQTT client, buffering and store and forward during uplink outages, unique client IDs, credential handling, health reporting. Develop and maintain the site gateway: isolated machine netw…