About BrickeyeBrickeye 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 ChallengeConstruction 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 ForWe’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 DNAYou see systems, not just components—understanding how sensor data flows through edge devices, cloud infrastructure, and user workflowsYou thrive in ambiguity: 'Make our alerts smarter' becomes a series of experiments with measurable hypothesesYou're a root cause detective who asks 'why are users ignoring 40% of our safety alerts?' and digs until you find actionable answersAI-First MindsetEarly adopter:You're already using AI tools (GitHub Copilot, ChatGPT, Claude, etc.) to accelerate development, debug complex issues, and explore new solutionsProductivity multiplier:You see AI as a force multiplier for engineering excellence, not a replacement for critical thinkingContinuous experimenter:You actively explore new AI tools and techniques, adapting them to solve construction-specific challenges like predictive maintenance or risk pattern recognitionTechnical VersatilityFull-stack fluency:Comfortable jumping from Python FastAPI backends to React frontends to PostgreSQL query optimizationIoT expertise:Understanding MQTT, device management, connectivity challenges, and time-series data at scaleInfrastructure mindset:You treat monitoring, security, and deployment as core engineering responsibilities, not afterthoughtsStartup AgilityBias toward action:Ship MVPs quickly, instrument them heavily, iterate based on real field dataSmart trade-offs:Make build-vs-buy decisions that accelerate time-to-value, choose boring tech when it's the right choiceWear many hats:Today debugging lost messages in the ETL, tomorrow designing APIs, next week optimizing database performanceConstruction Industry IntuitionField empathy:You understand harsh environments, intermittent connectivity, and users who can't touch tiny buttonsSafety-first mentality:Software bugs in construction can mean physical harm—your code needs to be bulletproofROI consciousness:Every feature connects to reduced delays, fewer accidents, or measurable productivity gainsTechnical Stack & Requirements Must-Have Experience:3+ years building production systemswith React and Python (FastAPI/Django)AWS services:Lambda, ECS, RDS, IoT Core, and other cloud infrastructureInfrastructure as code:Terraform, Ansible, or similar automation toolsContainerization & orchestration:Docker and orchestration platforms (Kubernetes, K3s, Podman)Testing & reliability:Proven track record of writing tests and building maintainable, robust systemsDatabase & API design:PostgreSQL experience preferred, RESTful API architectureCollaboration tools:Git workflows and team development practicesStrong 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 featuresReal-time systems:WebSockets, streaming data processing, alert/notification architecturesUI/UX design experience:Figma and design system implementationAWS certifications:AWS Certified Developer or Solutions Architect certificationArchitecture experience:Serverless computing and microservices architectureDevOps experience:CI/CD pipelines, monitoring, and production supportWhat Sets You ApartYou'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 insightsBuilding systems that work reliably in harsh, real-world conditionsCollaborating daily with hardware engineers, product owner, field teams, and business stakeholdersMaking a traditional industry smarter and safer through technologyWhat We OfferCompetitive salary+ equity in a growing construction tech companyHybrid flexibilitywith our Toronto-based teamReal impact:Your code directly prevents accidents and saves millions of dollars in construction delaysGrowth opportunities:Join a fast growing company, learn IoT, construction domain expertise, and startup scalingCollaborative culture:Smart people solving hard problems together#J-18808-Ljbffr