Top Software Engineer Jobs in Toronto

Lead technical direction and implementation of production AI agent systems for healthcare. Build and maintain reliable automation runtimes, workflow engines, observability, model integrations, and human-in-the-loop recovery. Drive ambiguous backend/full‑stack projects, improve engineering practices, and mentor engineers while remaining hands‑on in code.

Own and maintain data platform infrastructure: provision Snowflake via Terraform, build CI/CD for dbt, implement data quality and observability, extend the OpenMetadata catalog, create developer tooling and reproducible environments, and ensure secure, production-ready data pipelines.

The Senior Software Developer will lead development for SOTI's mobile management solutions, focusing on scalable applications using C# and .NET, while collaborating with agile teams.

Develop and design scalable applications in a team-based Agile environment, collaborating on features and exploring new technologies.

Build enterprise applications as a Senior Software Developer, focusing on full stack development within an Agile team using various technologies.

Design and develop motion planning software and algorithms for self-driving vehicles, collaborating with engineers and researchers while maintaining progress on long-term goals.

The role involves advancing onboard sensor systems for autonomous vehicles, solving integration issues, and collaborating with multidisciplinary teams.

The Senior Software Engineer will build backend features for user-facing products, lead development processes, and collaborate across teams to enhance Pinterest's services.

As a Senior Software Engineer at Tenstorrent, you will develop AI compiler technologies, optimize computational graphs, and enhance MLIR frameworks to connect AI models with hardware.

Design and implement selling features for eBay's iOS app. Build native iOS production-ready code, apply modern design patterns, write unit and UI tests, collaborate with product and services teams, debug network issues, and iterate quickly within an Agile engineering team.

Design, build, and maintain production-grade microservices and web applications to power personalization and recommendations. Implement model-serving and inference integrations, ensure resiliency, observability, and low-latency performance, work with event-driven and caching patterns, collaborate with AI/ML and data teams, drive technical designs, mentor engineers, and operationalize services for production readiness.

Build and harden scalable backend APIs and services using Python, Django, and FastAPI. Work with LLMs in production—creating pipelines, evaluations, and prompting strategies—while implementing observability and optimizing data systems. Collaborate across product, frontend, and data teams, participate in code reviews, and own complex technical problems to deliver reliable, audit-ready financial data products.

Design, develop, refactor, and migrate legacy ASP.NET and backend applications using Python and C#. Build microservices, containerize with Docker/Kubernetes (EKS), deploy to AWS, ensure application security, and optimize SQL database performance while collaborating with cross-functional teams.

Develop and manage GoDaddy's eCommerce and SSO infrastructure, focusing on backend services and APIs using Java and Kubernetes on AWS.

Lead the MLOps team focused on AWS cloud services and machine learning operations, design production-grade capabilities, and mentor other engineers.

Design, build, and deploy full-stack features across Angular MFEs and .NET microservices. Implement AI agent pipelines, integrate MongoDB/Postgres-backed catalog and event-sourced systems, and own end-to-end delivery with product, QA, and your pod.

Build and maintain large, distributed, highly available datastore infrastructure. Implement platform tools for deploying and managing datastores, research new environment automation, lead cross-team initiatives (design/code/reviews, security, operations), and participate in on-call rotation to ensure reliability and scalability.

Lead-platform principal engineer who codes, debugs, and sets reference implementations across AI-powered CX systems. Own platform architecture decisions, unblock squads by shipping production code, mentor engineers, and build high-capacity, event-driven distributed systems integrating messaging, multiple DB types, multi-cloud, and advanced AI (LLMs, RAG, agents).

Technical lead for large-scale data ingestion platform: define architecture (Kafka, EKS), own SLOs and observability, drive cost-efficient improvements, lead incidents and RCAs, mentor distributed engineers, and coordinate cross-team APIs and deployments.

Design, build, and ship production-grade distributed features within cross-functional agile teams. Contribute to architecture, prototype solutions, write automated tests, debug and profile distributed systems, resolve defects, coordinate technical dependencies, perform code reviews, and share knowledge to improve product quality and team practices.

Design, build, test, and deploy scalable backend services and data systems for Robinhood Wallet. Lead architecture and code quality, collaborate with product, client engineers, security, and vendors, and mentor engineers to deliver secure, high-performance crypto trading and custody features.

Join a talent network connecting principal front-end, back-end, and full-stack engineers with VC-backed startups. Responsibilities include driving technical architecture, building scalable full-stack applications, designing APIs and cloud-native services, optimizing performance and reliability, leading deployment and CI/CD best practices, and mentoring senior engineers while aligning technical decisions with product and business goals.

Lead design and implementation of scalable, production-ready patient engagement and eReferral software. Contribute across the full SDLC, provide technical leadership on larger initiatives, collaborate in Agile sprints, mentor teammates, and drive architectural decisions to deliver reliable healthcare solutions.

Lead a team to design, build, and operate large-scale data pipelines and warehouses, ensure data quality and SLAs, collaborate cross-functionally, leverage AI/LLM, and drive key data initiatives from planning to delivery.

Design, implement, and lead full-stack features spanning Angular front-ends, ASP.NET server APIs, background services, and SQL databases. Optimize SQL performance, integrate GIS and third-party data, prototype ML solutions, contribute analytics/reporting (Power BI/SSRS), mentor junior engineers, and champion CI/CD and engineering best practices in a remote-first environment.