Job Description

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-drivenall 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 worsesomeone 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.

The Engineer We're Looking For

We're looking for a talented Full Stack Engineer who loves solving complex real-world problemsnot just writing code. You'll build scalable systems that bring intelligence to construction sites, from resilient IoT edge devices to real-time dashboards that turn raw sensor data into actionable insights. If you're driven by impact, thrive in a collaborative startup environment, and want to shape technology that keeps people and projects safe, we'd love to meet you.

Problem-Solving DNA

You see systems, not just componentsunderstanding 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 harmyour 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
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 modelingbonus 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

You're not just looking for another dev jobyou 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

What We Offer

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

Brickeye

Open Positions

Senior Full Stack Software Engineer