Full Stack Software Engineer Construction Tech

Toronto, ON, CA, Canada

Job Description

About Brickeye


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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


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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 -30C 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


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Problem-Solving DNA




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

AI-First Mindset




Early adopter:

You're already using AI tools (GitHub 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

? Technical Versatility



Full-stack fluency:

Comfortable jumping from Python FastAPI backends to React frontends to PostgreSQL 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

Startup Agility




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

? Construction Industry Intuition




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


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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

Database & API design:

PostgreSQL experience preferred, RESTful API architecture

Collaboration tools:

Git workflows and team development practices

Strong Plus:




IoT/sensor expertise:

MQTT, device management, time-series databases (InfluxDB, TimescaleDB)

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:

WebSockets, 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

DevOps experience:

CI/CD pipelines, monitoring, and production support

What Sets You Apart


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You're not just looking for another dev job--you want to solve real problems that matter. You get excited about:


Turning messy construction data into actionable insights Building systems that work reliably in harsh, real-world conditions Collaborating daily with hardware engineers, product owner, field teams, and business stakeholders Making a traditional industry smarter and safer through technology

Who We are Not Looking for


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If you need perfectly specified requirements before starting work, focus only on assigned tasks without understanding broader problems, or avoid production support--this isn't the right fit.



What We Offer


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Competitive salary

+ equity in a growing construction tech company

Hybrid flexibility

with our Toronto-based team

Real impact:

Your code directly prevents accidents and saves millions of dollars in construction delays

Growth opportunities:

Join a fast growing company, learn IoT, construction domain expertise, and startup scaling

Collaborative culture:

Smart people solving hard problems together



Ready to transform an industry that builds the world around us?

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Job Detail

  • Job Id
    JD2761347
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Toronto, ON, CA, Canada
  • Education
    Not mentioned