Senior Product Engineer – Real-Time IoT

1 week ago

Waterloo, Ontario, Canada TeamDai™ Full time

IMPORTANT: READ BEFORE APPLYING

Do not apply
if you are an "App-only" developer. This project requires deep expertise in **Linux-based edge computing (Raspberry Pi)

Project Overview

We are seeking a lead engineering partner to build a high-stakes, real-time automation and consumer platform. The project involves a three-sided ecosystem: a Raspberry Pi-based edge layer deployed at distributed sites, a scalable cloud backend that ingests third-party data, and a dual-user mobile/web application suite.

The Challenge

You will be responsible for the end-to-end architecture of a system that:

  • Synchronizes 
    on-site hardware signals
     with 
    external data feeds
    .
  • Triggers 
    automated actions at the edge
     based on real-time logic.
  • Updates consumer clients with low-latency data visualizations.
  • Produces automated, verifiable performance reporting for external partners.

(Industry specifics and data partners disclosed under NDA.)

Key Responsibilities

  • Edge (Raspberry Pi):
     Develop a resilient Linux-based service for Raspberry Pi that interfaces with on-site equipment, manages local media/logic, and maintains a secure, offline-first cloud connection.
  • Cloud:
     Design and implement backend services for high-frequency data ingestion, role-based access, and real-time messaging (Pub/Sub) across a growing fleet of devices.
  • Mobile/Web:
     Deliver cross-platform mobile (iOS/Android) and web apps for two distinct user groups, featuring real-time state synchronization and location-aware workflows.
  • Reporting Automation:
     Implement a scheduled engine for aggregating activity logs and generating/distributing 
    branded PDF reports
     to external stakeholders.

Technical Requirements

  • IoT/Edge:
     Proven experience shipping production software on 
    Raspberry Pi
     (service supervision, local caching, and device telemetry).
  • Full-Stack:
     Strong backend engineering or Python), 
    PostgreSQL
    , and cross-platform mobile (Flutter or React Native).
  • Real-Time:
     Expertise in real-time data synchronization and messaging patterns (MQTT, WebSockets, or SSE).
  • Systems:
     Experience interfacing with external hardware protocols and managing media assets at scale.
  • Reporting:
     Experience building automated document generation (PDF) and email delivery pipelines.

To Apply

Please include:

  • 2–3 relevant case studies
     involving Raspberry Pi or distributed edge systems.
  • Your proposed
     technology stack and architectural approach.
  • Timeline estimate
     for an MVP and first pilot deployment.

Confidentiality Note

Specific domain details, hardware integration protocols, and deployment environments will be shared during the interview process under NDA.

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