Citylitics delivers predictive intelligence on where, how, and why infrastructure investments will occur across North America. Infrastructure includes the foundational systems that shape our quality of life: water, transportation, transit, roads and highways, broadband, and power. It represents a multi-trillion-dollar market and a 20+ year megatrend in North America.

Citylitics transforms millions of documents across more than 40,000 cities, utilities, and public agencies into real-time market signals and high-value sales intelligence. Leading infrastructure vendors, engineering firms, and construction companies use the platform to identify and pre-position for major infrastructure opportunities earlier, helping them build relationships, shape project priorities, and influence scope before projects move to formal procurement. Citylitics combines a network of AI agents, fine-tuned models, a proprietary infrastructure signals graph, and daily human-in-the-loop quality assurance workflows to deliver highly nuanced and reliable sales intelligence.

The platform integrates seamlessly with CRMs, ERPs, and data lakes, embedding actionable insights directly into sales workflows so teams can prioritize the right pursuits and build stronger pipelines.



Our mission is to improve how infrastructure investments get made so critical needs can be addressed earlier and communities benefit from stronger, more resilient infrastructure. Join Citylitics to work in a meaningful industry that will matter for decades to come while helping grow a company at the forefront of applied AI.

This position will be hybrid based out of our Toronto office. A full stack developer to modernize an established Django + React web application paying down tech debt on a live, actively-shipping codebase. Alongside that, you'll ship smaller, self-contained custom solutions directly to customers, owning delivery end-to-end.

You'll co-define the target patterns with our team, and we expect genuine depth in one of backend (Django/DRF) or frontend (React/TypeScript) with solid working competence in the other. Write design documents and run technical demos to align stakeholders before building Sequence product behaviors into backend/frontend implementation with accurate complexity estimates Design and ship self-contained custom solutions to customers Data Native Investigate and validate datasets with SQL and metrics to ground design decisions Upgrade core frameworks, retire end-of-life dependencies, and decompose oversized modules Reduce tech debt incrementally alongside ongoing product work - secure, incremental refactors over big-bang rewrites #

📌 Cloud Softwareentwickler Java / Python (m/w/d) (Toronto)
🏢 HybridDevelopmentContractToronto, Ontario, Canada
📍 Toronto