Senior Full Stack Software Engineer - Toronto - Brickeye

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-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.

The Engineer We're Looking For

We're looking for a talented Full Stack Engineer who loves solving complex real-world problems—not 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 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

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

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

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