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An innovative firm is seeking a highly motivated software developer to join their team in Toronto. This role focuses on building full-stack web applications and developing robust backend APIs while integrating dynamic web frontends. You will tackle complex data problems in infrastructure and contribute to a sales intelligence platform that enhances efficiency in the marketplace. With a commitment to sustainable solutions and a culture free from corporate bureaucracy, this position offers a unique opportunity for professional growth and the chance to influence positive change in public infrastructure.
Citylitics delivers predictive intelligence on local utility & public infrastructure markets.
What is Infrastructure? It is the roadways you rely on to safely get to Grandma's house, the potable water that comes out of your kitchen tap, and the energy that heats our homes and powers our digital lifestyles.
Every year, trillions of dollars are spent on infrastructure to maintain our quality of life and move our economy forward. However, our infrastructure is no longer equipped to meet future needs. We hear about failures like bridge collapses, power blackouts, or water main breaks daily. Climate change and extreme weather are disrupting basic infrastructure.
Citylitics is solving complex data problems in infrastructure and building a sales intelligence platform that makes the infrastructure marketplace faster, more transparent, and efficient. We transform unstructured documents into high-value intelligence feeds and datasets accessible through an intuitive user experience. Our goal is to enable solution providers to connect with cities more quickly and digitally than traditional channels, fostering a resilient, sustainable, and equitable infrastructure future.
We seek a highly motivated software developer experienced in building full-stack web applications, defining data models, developing robust backend APIs, and integrating dynamic web frontends. The ideal candidate is proficient in both backend and frontend technologies and capable of designing scalable, efficient systems.