Top Software Engineer Jobs in Toronto

The Senior Software Engineer II, Machine Learning will design and deploy ML algorithms, work with consumer data, and lead data teams.

Lead and mentor a team of developers, oversee cloud product delivery, drive engineering practices, and ensure high-quality standards while contributing to cross-functional initiatives.

Lead technical reliability work across platform and product teams: design guardrails, build incident mitigation tooling, run load testing, translate findings into platform-wide reliability improvements, and influence engineering standards and practices.

The Staff Software Engineer will design large-scale systems, drive AI adoption, influence technical strategy, mentor teams, and improve system reliability and efficiency.

Lead design and evolution of scalable systems, influence technical direction, guide AI-assisted development, and provide mentorship to engineers while driving improvements in observability and system reliability.

As a Senior Software Developer, you will develop modern SaaS applications for digital twins, ensure high code quality, mentor team members, and collaborate with cross-functional teams.

Design, build, and maintain internal platform services and developer productivity tools. Automate workflows, consolidate redundant tools, ensure reliability and security, participate in on-call rotation, and mentor teammates to improve developer experience and platform scalability.

As a Senior Software Engineer, you will design, implement, and maintain backend systems that integrate identity and authorization capabilities into AI workflows, ensuring security and reliability at scale.

As a Senior Software Engineer, you will develop and maintain software for healthcare applications, utilizing big data technologies and programming languages, ensuring high-quality code and system performance.

As a Senior Software Engineer, you will design and implement scalable systems, lead modernization initiatives, and ensure operational reliability while collaborating with teams and mentoring engineers.

As a Fullstack Software Engineer, you'll collaborate with multi-functional teams to enhance AI-driven solutions, participate in software development best practices, and take ownership of various platform functional areas.

The Senior Software Engineer will reshape the auto repossession and remarketing platform, incorporating AI to enhance operational efficiency and system quality while taking ownership of architecture and technical decisions.

As a Fullstack Software Engineer, you'll enhance Evisort's AI-driven contract management platform by collaborating with cross-functional teams and taking ownership of multiple functional areas from development to production.

The Staff Software Engineer will lead the technical strategy for AI platform development, architect foundational AI systems, ensure alignment between teams, and mentor engineers while driving organizational engineering standards.

Lead full-stack development with emphasis on video frontend (React/TypeScript) and backend support (C#/.NET). Design scalable systems and microservices, write and test high-quality code, participate in code reviews, use AI-assisted tools to improve coverage and velocity, work with cloud platforms, optimize SQL Server/Postgres databases, and participate in on-call rotation.

Build and ship full-stack features for AI agents embedded in HR and finance workflows. Own services end-to-end, collaborate with ML and product teams, operate production systems, mentor teammates, and promote strong engineering practices.

Build and deliver full-stack features powering AI agents embedded in HR and finance workflows. Own services from development through production, collaborate with ML and product teams, mentor teammates, and maintain high engineering standards for scalable, reliable SaaS systems.

Design, build, and maintain automation and testing infrastructure for the North platform: CI/CD pipelines, GitHub workflows, containerized test environments (Docker/Kubernetes), Helm and ArgoCD deployments, infrastructure-as-code, benchmarking, parallel test execution, and cross-team standards to improve test coverage, reliability, and deployment confidence.

Design, implement, and scale event-driven, distributed backend systems in Python on AWS to process and enrich large-scale document and media datasets. Lead technical projects, mentor engineers, integrate ML/LLM components, optimize performance, maintain observability, and collaborate with Data Science, ML Engineering, and Product to deliver reliable high-throughput content processing services.

Own and scale quality infrastructure for web engineering during a transition from a monolith to microfrontends. Build shared testing frameworks, CI/CD quality gates, metrics, and AI-enabled tooling to improve test ownership, reliability, and developer productivity. Mentor engineers, define testing strategy across unit/component/integration/contract layers, and create verification loops for agentic code generation.

Lead technical direction and architecture for the Fable backend, own platform reliability (databases, CI/CD, queues, observability), run incident response and postmortems, mentor engineers, collaborate cross-functionally with product/design/ML, and build platform capabilities enabling faster, safer delivery.

Design and build distributed, event-driven systems; lead end-to-end initiatives from design to monitoring; ensure reliability, performance, security, and observability; collaborate with Product and Design; mentor engineers and elevate code quality and architecture.

Lead technical direction for a high-performance 2D/3D viewer platform. Drive cross-team architecture, implement scalable platform capabilities, mentor engineers, improve engineering velocity, and resolve complex production issues while partnering with Product, UX, and Architects.

Lead design and implementation of a zero-to-one, real-time collaborative web content platform. Own architecture, build backend sync and delivery services, craft low-latency frontend editing experiences, define engineering standards, evaluate third-party tradeoffs, and mentor engineers while partnering with product and design.

Lead design, development, and operations of large-scale, distributed search microservices. Drive architecture, reliability, monitoring, incident response, and mentor engineers while partnering with architects and product managers to deliver resilient search infrastructure.