Top Software Engineer Jobs in Toronto

Develop and optimize auto-labelling systems using ML and computer vision, manage data pipelines, and collaborate with researchers.

Develop scalable systems across product and infrastructure, lead architecture decisions, mentor engineers, and improve system performance using various technologies.

The Senior Full Stack Software Engineer will lead the design and implementation of AI-integrated applications, mentor team members, and engage with clients on technical scopes, emphasizing hands-on development and architectural decisions.

Lead the design, implementation, and operation of core developer infrastructure (build systems, CI, SCM, remote dev envs). Drive architecture, scalability, onboarding improvements, standardize CI/build patterns, mentor engineers, and improve engineering productivity and reliability at scale.

Design and build distributed backend systems, microservices, and near-real-time data ingestion and processing. Scale an incrementality experimentation platform, add AI-powered workflows, extend data integrations and partner exports, and contribute frontend components as needed to deliver end-to-end product features.

The Senior Software Engineer will build and maintain the Boreal hosting platform and Moose open-source project, mentor junior team members, and collaborate with product and design teams.

The Staff Software Developer will lead AI-driven solution development, mentor engineers, and collaborate on product roadmaps, emphasizing efficient coding and technical best practices.

As a Data Engineering Architect, lead the transformation of data engineering into a modern platform, oversee architecture and technical leadership, design scalable systems, ensure data quality and governance, and mentor teams for a data-driven culture.

Lead architecture and evolution of Juniper Square’s distributed services, cloud infrastructure, and developer platform. Design scalable, multi-tenant, event-driven systems; build paved-road developer tooling, CI/CD, and observability. Hands-on coding, prototyping, and performance troubleshooting. Enable production AI/LLM workloads, ensure security/compliance, support enterprise upmarket needs, and mentor engineering teams to raise operational excellence and reliability.

Design, build, and productionize LLM-powered applications and agentic AI systems. Develop data and inference pipelines, deploy and monitor models, define evaluation frameworks, optimize performance/cost, and enforce governance, safety, and observability to deliver scalable AI-driven customer experience solutions.

Develop and maintain backend services and RESTful APIs for a credit card and payments platform. Work across the full stack with MySQL and third-party integrations, debug production systems, collaborate on feature design, and learn the payments domain while shipping production code.

Lead architecture and development of scalable, secure full‑stack services for card and payments systems using PHP and Python. Design REST APIs and microservices, optimize MySQL performance, drive CI/CD and testing standards, champion security and compliance, influence AI tooling strategy, and mentor mid and junior engineers.

Work directly with clients to scope, prototype, and deploy AI-powered workflows. Build scalable systems using LLMs, embedding and retrieval systems, and backend infrastructure. Translate messy data and operational constraints into production-ready solutions, iterate with stakeholders, and maintain deployed systems (including on-call support).

Design and build scalable full-stack web applications and APIs, drive architecture across frontend and backend, partner with product and design, mentor engineers, improve developer productivity with tooling and AI-assisted workflows, and migrate legacy systems into modern platforms.

Lead architecture and core runtime foundations for a distributed scanner platform, driving reliability, observability, performance, and engineering rigor while collaborating with hardware and ML teams and mentoring engineers.

Design and operate backend systems that ingest, process, store, and serve petabyte-scale video and sensor data. Build high-throughput upload/ingest, processing, indexing, retrieval, and access-control services. Own service quality, latency, uptime, capacity planning, cost, observability, and incident response. Coordinate distributed compute across cloud infrastructure and large GPU fleets to make data movement reliable and performant.

Provide technical leadership and architecture direction for enterprise SaaS platforms and distributed systems. Lead cross-team initiatives, drive scalability, reliability, security, observability, and platform modernization. Influence technical strategy, run architecture and design reviews, reduce technical debt, and mentor senior engineering staff.

Design, architect, and ship full‑stack monetization and ad-creation UI features. Build scalable React/TypeScript frontends, integrate with GraphQL/REST backends, run prototypes/A-B tests, ensure automated testing and code quality, and collaborate with product, design, and backend teams.

As a Staff Frontend Software Engineer, you'll develop critical infrastructure and user-facing features for a secure AI platform targeted at legal firms, collaborating across teams to ensure reliability and innovative solutions.

Lead frontend engineering to build polished, high-performance React+TypeScript interfaces for enterprise AI collaboration. Own end-to-end UI features, design system components, optimize performance, and collaborate with design and backend teams to deliver secure, reliable experiences for lawyers and organizations.

Design and build foundational backend infrastructure (authentication, permissions, feature flags, notifications, document integrations), evolve an internal product platform, lead enterprise-facing features for multi-party collaboration, and ensure security, privacy, and reliability for sensitive legal data while collaborating cross-functionally.

As a Staff Backend Software Engineer, you'll design and build backend infrastructure, lead development of enterprise features, and ensure system reliability processes for Harvey's AI-powered tools.

Define, implement, execute and maintain test plans and cases for ADAS controllers. Automate tests, develop and troubleshoot HIL bench tests, use Python and CAN/Ethernet tools (INCA, CANoe, CANalyzer, VSpy), produce reports, and apply calibration/validation and AI tools to improve test coverage and productivity.

Design and build scalable full-stack web applications and APIs, drive architecture across frontend and backend, partner with product and design, mentor engineers, improve developer productivity via tooling and AI-assisted workflows, and migrate legacy systems to modern platforms.

As a Senior Software Engineer, you'll design and build scalable market data systems, improve API architecture, and enhance overall system performance, contributing to Alpaca's infrastructure for trading financial assets.