Top Software Engineer Jobs in Toronto

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 design and implementation of production AI/LLM systems and scalable FastAPI backends, implement embedding-based semantic search with PostgreSQL/pgvector, build WebSocket real-time collaboration, own GCP/Kubernetes infrastructure (KEDA, Terraform), and mentor engineers while driving architectural decisions and feature rollouts.

Lead and execute perception R&D and engineering for factory robots: define multi-year roadmap, architect perception pipelines (detection, segmentation, 6-DoF pose, scene understanding), drive sensor fusion and calibration, establish data/model workflows and deployment practices, integrate with planning/control, hire and mentor engineers, and evaluate research for production adoption.

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.

The Software Engineer will drive technical innovation in software companies, modernizing systems and building AI-powered products while collaborating across teams.

As a Mobile Principal Software Engineer, you'll lead in developing a high-quality mobile app, mentor teams, and strategize mobile platform growth while ensuring customer satisfaction and technical excellence.

Design, build, and own services for a Backstage-based internal developer platform using TypeScript/Node.js. Manage catalog ingestion from Helm, ArgoCD, GCP, and GitHub. Implement developer-facing features and LLM-powered services, ensure reliability on GKE with PostgreSQL/Redis and Datadog, own incident response and runbooks, and collaborate with engineering, governance, architecture, and infra teams on self-service tooling.

Design, build, and maintain hedge accounting features; collaborate on Agile projects; ensure software accuracy; mentor junior engineers.

Design, build, and evolve the frontend and backend of a cloud-based clinical AI platform; own architecture, break down ambiguous problems, and collaborate with Product, Design, ML, Security, and Infrastructure teams while integrating AI-assisted development workflows.

The Senior Software Developer will develop and maintain high-performance payment systems, focusing on microservices, API design, and database management, while adhering to best coding practices.

Lead technical triage and resolution for full‑stack production issues, build internal tools and automations, expand observability, harden CI/CD and deployments, and partner with implementation and product teams to streamline customer rollouts and influence product roadmap around AI, cloud, and platform reliability.

The Senior Backend Engineer will design and build scalable backend systems for SaaS products, integrate ML/AI capabilities, and lead technical direction across product areas.

The Principal Software Engineer will design and implement features, write production-grade code, mentor team members, and ensure technical excellence within a Scrum team.

Clio seeks a Senior Software Developer to build innovative voice and messaging solutions. Responsibilities include working in agile teams, optimizing performance, and mentoring developers while leveraging Node.js and AWS technologies.

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.

Build large-scale, distributed cloud systems in Go, with emphasis on low-level systems, network programming, and multi-platform software across Windows, macOS, Linux, iOS, and Android. Apply expertise in network protocols and topologies. Experience with proxies, VPNs, ZTNA, WireGuard, and next-generation firewalls is advantageous.

Build and advance Island’s enterprise software platform, integrating AI enablement, network access, data protection, identity, endpoint control, browser technology, and security capabilities. The role contributes to scalable products used by major global enterprises and requires expert-level engineering, rapid learning, teamwork, and strong interpersonal skills.

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.

Develop and maintain delivery and automation systems using TypeScript/Node (NestJS) and Go. Provide operational coverage, ship features, investigate deploy issues, support CI/CD and GitOps tooling (ArgoCD/Helm/GitHub Actions), and contribute to infrastructure provisioning and automation.

Designs and executes manual and automated testing strategies for web applications, including functional, regression, exploratory, usability, API, and end-to-end testing. Builds test automation frameworks, develops test plans and cases, tracks defects, analyzes quality metrics, and collaborates with engineering and product teams. The role also evaluates testing tools and may support performance, load, security, and CI/CD testing improvements.

Build, operate, and extend Affirm's data platform and application tooling to enable self-service data applications at scale. Implement platform features (provisioning, CI/CD, access control), integrations, data governance, automation, observability, and on-call operations. Contribute to roadmap for semantic layers, agentic data tooling, and AI-native workflows while raising engineering and operational standards.

Build and enhance backend pricing and risk services for front-office trading. Collaborate with sales, trading, and quant teams to design scalable, high-performance systems, integrate downstream consumers, and maintain testable, observable CI/CD pipelines while learning financial product workflows.

Write, test, and maintain high-throughput, scalable software. Collaborate with engineers, contribute to architecture improvements, participate in code reviews and on-call rotations, and use AI-assisted tools to accelerate development and documentation.

Build and ship full‑stack features for North, an enterprise AI workspace. Develop secure autonomous agents, execution engines, integrations, observability and evaluation systems. Collaborate with researchers to productionize models and deliver performant, low‑resource deployment code while adhering to strict security and privacy constraints.

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.