Top Tech Jobs & Startup Jobs in Toronto

Design and deliver end-to-end UI/UX for web and mobile products: conduct user research, create journeys, wireframes, prototypes and high-fidelity UI, contribute to design systems, and collaborate closely with product and engineering through handoff and iteration.

Build and maintain backend services, APIs, and data models for a greenfield supply-chain platform. Implement business logic, ensure data integrity and API performance, manage relational schemas and migrations, write tests, integrate external systems, participate in design and code review, and help evolve backend architecture as the platform scales.

Lead architecture and scaling of a live integration iPaaS for supply chain: harden platform for enterprise use, improve throughput, reliability, observability, tenant isolation, and mentor engineering while shipping zero-downtime changes.

Build and own end-to-end features for a greenfield supply-chain platform, implementing React/Next.js frontends and Python/.NET/Node.js backends, designing and integrating REST APIs, ensuring performance, testing, and maintainability while collaborating with product and design.

The SCALE WMS Consultant leads the implementation and configuration of SCALE WMS, collaborating with client teams and ensuring operational efficiency through design, documentation, and support of warehouse management systems.

The role involves designing warehouse and logistics systems, creating scalable models, bridging operations with product teams, and continuously validating and refining system outputs for operational efficiency.

The Principal Engineer will lead the design and development of a new cloud-native platform, overseeing technical architecture, core services, and establishing development standards while transitioning to a long-term ownership role.

The Implementation Account Executive sells WMS, OMS, and TMS implementation programs while managing complex RFP processes and ensuring alignment with delivery capacity and program economics.

The AI Engineer will design and implement production-ready LLM systems, optimize for cost and latency, and collaborate across teams while demonstrating strong ownership and independent execution.

Lead and mentor cross-functional engineering teams to deliver full-stack, cloud-native solutions. Own delivery planning, architecture, CI/CD, observability, and AI-assisted engineering adoption. Provide hands-on technical contribution across C#.NET, frontend frameworks, Python, databases, Azure/GCP, DevOps, and QA automation while managing customer engagements and engineering health.