×
Register Here to Apply for Jobs or Post Jobs. X

Full Stack Software Engineer - Construction Tech

Job in Toronto, Ontario, C6A, Canada
Listing for: Brickeye
Full Time position
Listed on 2026-01-21
Job specializations:
  • IT/Tech
    AI Engineer, Systems Engineer, Cloud Computing
Job Description & How to Apply Below

Overview

Full Stack Software Engineer - Construction Tech

Hybrid

Published2 days ago

About Brickeye

Brickeye transforms construction sites through intelligent IoT technology. Our platform provides real-time visibility, early risk detection, and smart automation that prevent costly damages and delays. From instant safety alerts to predictive analytics that help secure better insurance rates, we're making construction safer, more productive, and data-driven—all while maintaining enterprise-grade security and compliance.

The Challenge

Construction sites are chaotic environments where a single missed risk signal can mean millions in cost - delays, equipment damage, or worse—someone getting hurt. At Brickeye, we're building an IoT-enabled technology that turns construction sites into smart, predictive environments. Our sensors detect water leaks before they become catastrophic, our edge devices work in
-30°C weather with spotty connectivity, and our dashboards help project managers prevent problems instead of just reacting to them.

We need engineers who solve problems, not just write code.

The Engineer We're Looking For
  • You see systems, not just components—understanding how sensor data flows through edge devices, cloud infrastructure, and user workflows
  • You thrive in ambiguity: "Make our alerts smarter" becomes a series of experiments with measurable hypotheses
  • You're a root cause detective who asks "why are users ignoring 40% of our safety alerts?" and digs until you find actionable answers
  • Early adopter: You're already using AI tools (Git Hub Copilot, ChatGPT, Claude, etc.) to accelerate development, debug complex issues, and explore new solutions
  • Productivity multiplier: You see AI as a force multiplier for engineering excellence, not a replacement for critical thinking
  • Continuous experimenter: You actively explore new AI tools and techniques, adapting them to solve construction-specific challenges like predictive maintenance or risk pattern recognition
  • Full-stack fluency: Comfortable jumping from Python FastAPI backends to React frontends to Postgre

    SQL query optimization
  • IoT expertise: Understanding MQTT, device management, connectivity challenges, and time-series data at scale
  • Infrastructure mindset: You treat monitoring, security, and deployment as core engineering responsibilities, not afterthoughts
  • Bias toward action: Ship MVPs quickly, instrument them heavily, iterate based on real field data
  • Smart trade-offs: Make build-vs-buy decisions that accelerate time-to-value, choose boring tech when it's the right choice
  • Wear many hats: Today debugging lost messages in the ETL, tomorrow designing APIs, next week optimizing database performance
  • Field empathy: You understand harsh environments, intermittent connectivity, and users who can't touch tiny buttons
  • Safety-first mentality: Software bugs in construction can mean physical harm—your code needs to be bulletproof
  • ROI consciousness: Every feature connects to reduced delays, fewer accidents, or measurable productivity gains
Technical Stack & Requirements

Must-Have

Experience:

  • 3+ years building production systems with React and Python (FastAPI/Django)
  • AWS services: Lambda, ECS, RDS, IoT Core, and other cloud infrastructure
  • Infrastructure as code: Terraform, Ansible, or similar automation tools
  • Containerization & orchestration: Docker and orchestration platforms (Kubernetes, K3s, Podman)
  • Testing & reliability: Proven track record of writing tests and building maintainable, robust systems
  • Collaboration tools: Git workflows and team development practices

Strong Plus:

  • AI/ML tools: Active experience using AI for development acceleration (Copilot, ChatGPT, etc.), data analysis, or predictive modeling—bonus if you've built AI-powered features
  • Real-time systems: Web Sockets, streaming data processing, alert/notification architectures
  • UI/UX design experience: Figma and design system implementation
  • AWS certifications: AWS Certified Developer or Solutions Architect certification
  • Architecture experience: Serverless computing and microservices architecture
  • Dev Ops experience: CI/CD pipelines, monitoring, and production support
What Sets You Apart

You're not just looking for another dev job—you…

Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)

Job Posting Language
Employment Category
Education (minimum level)
Filters
Education Level
Experience Level (years)
Posted in last:
Salary