Top Software Engineer Jobs in Toronto

Develop and maintain CircleCI tools and environments, optimize customer developer experience, and contribute to a collaborative engineering culture.

As a Full Stack Developer, you will ensure stable, scalable releases of MyGeotab and the Drive App, managing data and maintaining quality code for a global user base.

Design and build AI infrastructure platforms, enhance developer workflows with AI automation, and establish best practices for AI usage. Collaborate across teams to deliver scalable AI solutions while mentoring and implementing cost management systems.

The Software Engineer will design scalable services, develop backend systems, and mentor teammates, focusing on digital asset solutions using Node.js and TypeScript.

You will design and deliver backend systems at scale, collaborate with stakeholders, solve technical issues, and develop team talent.

As a Staff Software Engineer on the Growth Platform team, you will lead the technical strategy for backend systems, drive collaboration, ensure system sustainability, and foster team culture and talent development.

The Senior Software Engineer focuses on developing backend systems, managing APIs, collaborating with teams, and ensuring operational availability while participating in community building within the team.

The Staff Software Engineer will lead the development of backend services and data pipelines for real estate MLS data, mentor teams, and work on AI integration.

Lead the development of high-performance web applications, mentor junior engineers, influence architecture, and deliver exceptional user experiences.

The Software Developer will design and develop components in .NET and C#, manage deliverables, and collaborate closely with product and QA teams.

The Senior Software Engineer will design scalable backend systems, write high-quality code, collaborate across teams, and tackle complex technical problems in building crypto products.

Develop and maintain REST APIs using Java, build microservices for FX trading, optimize performance, and collaborate in Agile practices.

Develop and enhance robust software solutions, improve software stability, manage technical debt, and collaborate in an agile environment.

As a Flight Software Engineer, you will design, develop, and maintain software for payload systems for space missions, ensuring reliability and success in operations.

The Firmware/Software Engineer will design and validate embedded control software for optical communication systems, developing drivers and interfaces for control loops and system diagnostics.

As a Full Stack Engineer, you'll design and implement AI-driven features across front end, back end, and cloud architectures. You'll integrate AI models, enhance product capabilities, and collaborate in various engineering initiatives.

Develop end-to-end product features, lead projects, shape technical systems, and mentor teammates while collaborating with cross-functional teams.

The Senior Software Engineer will lead backend development projects, collaborating with teams to create scalable solutions and mentor junior staff.

The Staff Software Engineer, Fullstack will manage product systems from design to implementation, mentor engineers, and influence technical direction.

The Staff Software Engineer, Backend role involves owning backend systems architecture, mentoring engineers, enhancing system reliability, and guiding teams through ambiguity while maintaining high technical standards.

The Senior Software Engineer will lead frontend initiatives, build user-facing features in React and React Native, and mentor teammates within a collaborative environment.

As a Full-stack Engineer, develop and support front-end and back-end applications, collaborating in Agile teams, coding, testing, and ensuring code quality.

As a Staff Software Engineer, lead the technical direction, architecture, and design for Square's Local Services products, mentoring engineers and improving system performance and reliability.

As a Software Engineer II, you'll build and integrate web applications and services, participate in Agile ceremonies, and support junior developers.

As a Machine Learning Engineer, you will develop models for NLP and code-generation systems, analyze data, and improve AI performance using advanced algorithms. You'll manage the entire ML lifecycle and ensure effective communication of model benefits across the organization.