Senior Full Stack Engineer

Role Details

• •Reports to: CTO / Head of Product
• •Location: Remote-friendly · Vancouver preferred
• •Type: Full-time · Permanent
• •Level: Senior (6+ years)
• •Stack: TypeScript · React · Next.js · Node.js · PostgreSQL/PostGIS · Python/FastAPI

About Our Platform

We are a cleantech data company building the definitive intelligence layer for residential property risk and sustainability. Our platform scores 5 million+ homes across five climate dimensions — energy, carbon, fire, flood, and wind — drawing on 28+ property parameters: parcel and lot geometry, building envelope, windows, doors, insulation, heating and cooling systems, and solar potential. Our two web products are Engage, a consumer application that helps homeowners understand and act on their home's climate profile, and HomeIQ, a property intelligence platform serving lenders, insurers, and real estate professionals with deep analytics and risk scoring. Both are web-first. Both need to be fast, beautiful, and reliable.

The Stack

• •Web app: Next.js 14 + TypeScript + React (Vite for isolated components)
• •Styling: Tailwind CSS (CSS Modules for complex components)
• •Data viz: D3.js / Recharts (Mapbox GL / deck.gl for geospatial)
• •API layer: Next.js API routes / Node.js (FastAPI for scoring engine)
• •Database: PostgreSQL + PostGIS (Redis for caching)
• •Auth: NextAuth.js / Auth0 (JWT, OAuth2)
• •Infra: AWS (ECS, RDS, S3, CloudFront), Docker, GitHub Actions CI/CD
• •Data science: Python (read/integrate only) — pandas, numpy, scikit-learn context

Frontend — Engage Consumer Web App

• •Architect and build the Engage web application in Next.js and TypeScript — the primary interface through which homeowners understand their energy, carbon, fire, flood, and wind profile
• •Design and implement interactive data visualisations: score cards, risk gauges, trend charts, and geospatial map layers that make complex climate data immediately legible to a non-technical homeowner
• •Build a responsive, mobile-first, accessible UI — this is a consumer product held to consumer product standards
• •Implement performant client-side state management across a multi-parameter, data-dense application
• •Optimise for Core Web Vitals — LCP, CLS, FID — because page speed is a product feature when homeowners are searching their address

Frontend — HomeIQ Professional Platform

• •Build the HomeIQ analytics interface for lenders, insurers, and real estate professionals — a data-dense, multi-tenant dashboard with property search, risk scoring tables, portfolio views, and exportable reports
• •Implement role-based access control across the UI — enterprise clients have different data access tiers
• •Build interactive geospatial layers (Mapbox GL or deck.gl) overlaying fire, flood, and wind risk on property maps
• •Design reusable chart and table components in D3.js or Recharts that work across both Engage and HomeIQ

API & Backend

• •Build and own the Next.js API routes and/or Node.js services that sit between the database and the frontend — serving property scores, parameter data, and user account information
• •Design clean, versioned REST endpoints consumed by both web applications, and eventually by third-party API customers (lenders, insurers)
• •Integrate with the Python/FastAPI scoring engine — calling model endpoints, handling responses, caching results, and surfacing errors gracefully in the UI
• •Implement authentication and authorisation flows: consumer sign-up/login for Engage, enterprise SSO and multi-tenant access for HomeIQ
• •Build background job processing for score refresh cycles and data pipeline triggers

Database & Geospatial

• •Own the PostgreSQL schema for property data — 28+ parameters per property, 5M+ records, with PostGIS geometry for parcel boundaries, lot shapes, and spatial risk zones
• •Write performant geospatial queries: point-in-polygon for parcel lookup, buffer analysis for risk proximity, spatial joins across fire, flood, and wind hazard layers
• •Design and maintain database indexes, query plans, and caching strategies (Redis) for a high-read, analytics-heavy workload
• •Build ETL pipelines that ingest raw property data from multiple sources — land title registries, municipal datasets, satellite data — and normalise it into the scoring schema

Infrastructure & DevOps

• •Manage cloud infrastructure on AWS: ECS for containerised services, RDS for PostgreSQL, S3 and CloudFront for static assets, Lambda for event-driven processing
• •Maintain Docker configurations and GitHub Actions CI/CD pipelines — automated testing, staging deployments, and production releases
• •Implement monitoring, alerting, and logging (CloudWatch, Sentry, or similar) across both web products
• •Manage environment configuration, secrets handling, and infrastructure-as-code (Terraform or CDK)

Data Science Integration

• •Work closely with data scientists to integrate Python-based energy, carbon, and climate risk models into production web services
• •You do not build the models — but you must understand them well enough to implement them correctly, validate their outputs, and surface model uncertainty in the UI
• •Read Python notebooks and FastAPI service code; raise implementation concerns before they become production bugs
• •Build tooling to validate that production scores match expected model outputs within defined tolerances

Technical — Non-Negotiable

• •TypeScript: strong, production-grade — your primary language across frontend and backend
• •React: deep understanding of component architecture, hooks, rendering performance, and state management patterns
• •Next.js: App Router, server components, API routes, SSR/SSG trade-offs, image optimisation
• •Node.js: async patterns, event loop, stream processing, REST API design
• •PostgreSQL: schema design, query optimisation, indexing, transactions — not just ORM usage
• •PostGIS: geospatial queries, spatial indexing, coordinate systems — or strong GIS background and willingness to go deep fast
• •Git, Docker, CI/CD: you run your own deployments and debug your own infrastructure
• •Python (reading level): enough to read data science code, call FastAPI endpoints, and understand what the scoring models are doing

Technical — Strong Assets

• •D3.js or Recharts for custom data visualisation
• •Mapbox GL JS or deck.gl for geospatial map rendering
• •AWS services: ECS, RDS, S3, CloudFront, Lambda
• •Redis for caching and session management
• •Auth0, NextAuth.js, or equivalent authentication platforms
• •Terraform or AWS CDK for infrastructure-as-code
• •Building physics fundamentals — heat transfer, thermal envelope, HVAC — enough to have an intelligent conversation with a data scientist about what an energy score means
• •Experience in climate tech, PropTech, insurtech, or energy transition software

Professional

• •6+ years of professional software engineering, with consumer-facing web products in your portfolio that you are proud to show
• •Demonstrable experience owning a full stack — not just frontend or backend, but both, in production
• •You make architectural decisions, document them, and own the consequences
• •You communicate technical constraints clearly to a non-technical product visionary without being condescending or evasive
• •You are comfortable being the most senior technical voice in a room and comfortable being wrong
• •Startup cadence: you ship fast, you refactor deliberately, and you do not wait for a perfect spec

What We Offer

• •Meaningful early-stage equity in a company at the intersection of climate risk, real estate, and financial services — a market at a genuine inflection point
• •Direct collaboration with the founding team — your architectural decisions will shape the platform for years
• •Remote-first culture anchored by a Vancouver-based core team
• •Competitive senior engineering salary
• •The rare opportunity to build a data platform that will touch millions of homes and inform billions of dollars in lending, insurance, and renovation decisions