Top Software Engineer Jobs in Toronto

Build backend infrastructure and APIs to integrate Lyft with emerging AI ecosystems and devices. Design scalable distributed systems, mentor engineers, drive high-impact projects, write and review maintainable code, participate in on-call rotation, and collaborate cross-functionally to deliver production-grade AI-enabled features.

Develop, review, and maintain full-stack .NET web applications across the FacilityOS platform. Participate in code reviews, use static analysis tools, troubleshoot staging/production issues, collaborate with engineering and project managers, and research platform improvements.

Develop and maintain client software systems, design user-friendly interfaces, communicate technical issues, conduct testing, and document processes.

Design and develop software solutions for order management and catalog applications, perform requirement analysis, programming, and unit testing.

The Intermediate Software Engineer will collaborate with a Scrum team to develop features, write scalable code, participate in code reviews, and utilize AI tools while focusing on customer needs.

Build and scale ML-optimized HPC infrastructure, manage Kubernetes-based GPU/TPU superclusters, optimize for AI/ML training, and mentor teams while innovating in ML infrastructure.

Join Sync as a Software Developer to design and deploy full stack applications, focusing on cloud integration, microservices, and security in an agile environment.

As a Software Engineer, you will create tools and pipelines for AI development, manage data solutions for ML teams, and ensure high-quality code.

Design and deliver full-stack features across notebook services, container runtimes, and UI (Go/Python backend, TypeScript/React frontend). Own medium-to-large projects end-to-end, improve runtime management, reproducibility, security/compliance, and observability, ensure reliability in regulated or air-gapped environments, participate in on-call rotation, and mentor junior engineers.

Build and operate Planet’s large-scale storage infrastructure, including object storage, metadata indexing, Elasticsearch search, event notification, and disaster recovery. Develop highly available backend services and APIs, monitor and tune production systems, respond to incidents, and improve performance. Advise engineers, lead technical projects, contribute to architectural roadmaps, participate in design reviews, and support engineering practices and documentation.

Own and maintain the backend stack: build APIs and services in Node.js, manage deployments with Docker/Linux, design scalable REST APIs with Swagger, collaborate with hardware/frontend teams, and prepare sensor datasets for AI/ML pipelines with an eventual path to Lead AI Engineer.

Build and maintain Supabase Lite: implement TypeScript-native backend compatible with PostgREST/Auth and @supabase/supabase-js, extend SQLite support, own CLI/tooling and upgrade paths, ensure compatibility with hosted Supabase, engage partners and open-source community.

Build and operate core backend services, APIs, and platform components for enterprise AI; integrate LLMs, retrieval and agent workflows; ensure reliability, observability, testing, and scalability; collaborate with research, product, and design to productionize AI capabilities.

As a Software Engineering Intern, you will contribute to building features for user-facing products, APIs, and scalable services for machine learning. Responsibilities include crafting code, designing data pipelines, implementing tools, and enhancing technical documentation.

The role focuses on optimizing coding practices and collaboration within the engineering team, improving internal tooling, and communicating between teams and leadership.

Build scalable, high-performance consumer applications using computer vision and 3D experiences. Lead projects from concept through launch, own front-end systems, participate in architecture and design discussions, mentor engineers, improve development practices, support partners, and contribute to hiring and engineering culture.

The Senior Frontend Engineer will develop and improve the Cresta platform, focusing on frontend engineering, coding, architecture, and customer-facing components, while ensuring high standards in performance and security.

Lead architecture and delivery of production AI agent systems: design agent infrastructure, observability, evaluation, progressive rollout, and reliability. Provide hands-on technical leadership, mentor senior engineers, drive RFCs/ADRs, and partner with product to sequence strategic platform work.

Responsible for software integration and quality for Cerebras AI platform, focusing on automation, debugging, and cross-team collaboration. Develops QA strategies and testing methodologies to ensure product quality.

Build and enhance Elasticsearch’s analytical query engine and ES|QL capabilities. Design data-intensive features, algorithms, and data structures; optimize performance; resolve bugs; and work near operating system and hardware layers. Collaborate with globally distributed engineering teams and open-source contributors, guide projects autonomously, review code, and improve Elasticsearch expertise and usability.

Design and build a next-generation reliability platform for production systems, lead delivery of quarterly goals, collaborate across product/design/analytics, support operations and on-call, set code and design standards, mentor engineers, and integrate AI/LLM-assisted tooling to improve service health and debugging.

Lead and deliver backend batch infrastructure work: own quarterly goals, design and build reliable scalable compute for batch workloads, collaborate with product and stakeholders, run ops/on-call, set code/design standards, mentor engineers, and drive platform reliability and performance.

Lead backend engineering for cloud-native, event-driven data pipelines and customer integrations (especially EHRs). Evolve core data models and APIs, improve scalability and reliability, mentor engineers, define best practices, and drive end-to-end testing and AWS-based solutions.

Join the Invoice Simple Core team to design, implement, test, and ship TypeScript-based web and mobile features. Collaborate with product and senior engineers, follow engineering standards, improve maintainability, and support the full app lifecycle from development to production.

Lead AI agent optimization efforts by designing systems that improve token efficiency, response time, reliability, and output quality. Build agentic coding systems, develop AI application patterns, own features end to end, collaborate with engineering and field teams, support the developer community, and create public technical documentation. Work across Python, TypeScript, Java, and Go while serving as a domain expert in agent design and optimization.