Top Tech Jobs & Startup Jobs in Toronto

Lead design and implementation of scalable backend services and frontend features across a polyglot stack. Drive architecture, API design, testing, CI/CD, observability, and operational excellence. Use AI tools extensively to generate, test, debug, and document code. Mentor engineers, conduct reviews, participate in on-call rotations, and collaborate cross-functionally to deliver reliable, high-performance dealer-facing SaaS solutions on AWS.

The Software Engineer will maintain the operational health of CMS services, support production systems, and contribute to incident response and reliability improvements. Responsibilities include monitoring, troubleshooting, updating documentation, and engaging in continuous improvement initiatives within a collaborative team environment.

The Senior Software Engineer will design and implement scalable systems using .NET and Angular, lead modernization initiatives, and ensure the reliability of production systems while collaborating with engineering teams.

The Senior Software Engineer will lead the redesign of an auto repossession platform, enhancing system resilience and integrating AI tools to improve operational efficiency. Responsibilities include system architecture, technical decision-making, and collaborative development across the software lifecycle.

The Senior Account Executive will drive new business acquisition across Canada, focusing on selling digital retail and marketing solutions to dealerships, managing pipelines, and collaborating with internal teams to meet sales quotas.

The Senior Software Engineer will modernize the platform for fraud detection, drive architectural decisions, and improve code quality, operating within a cross-functional agile team.

Build and maintain backend and frontend services for Dealertrack Canada. Implement testable features, participate in design discussions, own deployments and monitoring, respond to incidents, and improve reliability, security, and automation while collaborating with the team and using modern engineering practices.

Lead product-focused analytics for seller and listing performance: define KPIs, build/maintain data models and ELT pipelines, run experiments and impact measurement, deliver dashboards and automated reporting, use AI-assisted tools and analytics agents, and mentor junior analysts to drive business outcomes.

As a Senior Data Scientist, you will design, build, and operate machine learning and GenAI systems, influence technical direction, and mentor junior data scientists, focusing on production ML systems.

Lead high-impact AI initiatives, develop ML products, collaborate with cross-functional teams, and mentor data scientists in a dynamic environment.