Top Engineering Jobs in Toronto

Lead the adoption of Rust at Canonical, design and implement Rust software, collaborate on technical specifications, and advocate for Rust within projects.

As an Engineering Manager, you will lead a team to optimize engineering and operations processes, ensuring quality managed services while collaborating with customers and stakeholders.

Lead a team in developing scalable data solutions, mentor engineers, manage expectations, and contribute to code. Focus on high-quality software practices.

Manage and lead a growing engineering team for the BootStack service, ensuring operational excellence and quality service delivery to customers while fostering collaboration and product improvement.

You will lead engineering teams, develop managers, hire staff, drive quality, and ensure disciplined processes while representing products to stakeholders.

As a Software Engineer at Canonical, you will collaborate globally to shape open-source software operations, focusing on Python and Golang development, enhance DevOps workflows, and improve infrastructure operations for cloud computing solutions.

The Engineering Manager leads the Ubuntu Desktop Apps team, overseeing application design, development, and system integration while mentoring engineers and promoting continuous improvement in software quality.

Manage engineering teams and operations for the BootStack service, ensuring quality and timely delivery of managed services while collaborating with stakeholders and optimizing team performance.

As an Engineering Manager, you'll lead a remote team, manage MLOps projects, ensure high performance, and mentor engineers while driving product strategies.

Lead and mentor a team of engineers to enhance AppArmor security features, ensuring high quality results and collaboration with stakeholders.

The Design Engineering role involves creating 3D mock-ups and 2D drawings for aircraft aerostructures, ensuring compliance and manufacturability, and providing support to manufacturing and operations.

The Head of AI will define and execute an AI roadmap, lead research initiatives, mentor the AI team, and collaborate with senior leadership to enhance health technology.

Build, maintain, and evolve Mozilla’s Internal Developer Infrastructure Platform: CI/CD, observability, Kubernetes optimization, environment bootstrapping, and cost optimization. Lead technical decisions, create Claude skills and agentic workflows to boost developer productivity, mentor teammates, write proposals, and deliver cross-functional platform features while ensuring usability, maintainability, and safe production paths.

Lead Narvar's Promise team of frontend, backend, and data science engineers to deliver AI-driven delivery date predictions. Drive roadmap, set technical direction, maintain quality, hire and grow staff, run hypothesis-driven cycles, and collaborate cross-functionally. Stay hands-on with AI/ML, cloud infrastructure, and engineering practices to improve SDLC and product conversion.

Lead a four-person full-stack engineering squad building network monitoring, incident management, inventory, fulfillment, and provisioning modules for telecom providers. Split time between software development and technical and people leadership. Own architecture, technical vision, code quality, hiring, coaching, planning, stakeholder collaboration, GraphQL APIs, AWS-based serverless microservices, third-party network integrations, and customer network onboarding support.

Lead and develop cross-functional engineering teams delivering Salesforce-centered services. Own agile delivery, provide technical leadership and code quality oversight, ensure HIPAA/SOC 2 compliance, optimize engineering operations, and align product and technical priorities with stakeholders to deliver scalable healthcare software.

Lead consolidation and strategy for the company's AI platform: migrate distributed prompts to a unified system, prioritize chatbot work, drive architecture and API decisions, own the OpenAI relationship and ChatGPT App presence, evaluate emerging technologies (voicebot, computer capabilities), and coordinate engineering, data, and operations to deliver production-grade AI features.

Lead consolidation and technical strategy for Jerry.ai's AI platform. Own prompt migration, chatbot prioritization, vendor relationships (e.g., OpenAI/ChatGPT), and platform architecture. Coordinate engineering, data, and operations, drive execution, evaluate emerging voice/computer capabilities, and ensure the platform remains reliable while evolving to support scalable, production-grade AI agent products.

Lead consolidation and strategic direction of Jerry.ai's AI platform, unifying prompt assets, prioritizing chatbot technical work, managing vendor relationships (e.g., OpenAI), and coordinating engineering, data, and operations to deliver scalable, production-grade agentic AI products and platform architecture.

Own and evolve Jerry.ai's AI platform: consolidate prompts from six locations onto a unified system, prioritize chatbot technical work, drive architecture and emerging-technology decisions (voice/computer use), manage the OpenAI relationship, and coordinate cross-functional teams to deliver scalable production-grade AI features while keeping current systems running.

Lead a product development squad for Joist. Responsibilities include managing engineers, project ownership, delivering software, and promoting Agile practices.

Build and maintain scalable release automation and CI/CD pipelines to run tens of thousands of build/test/release tasks daily. Improve developer experience, optimize cloud-based build resources, collaborate with distributed teams, perform code reviews, and respond to critical service outages during normal working hours.

Lead and develop a high-performing software engineering team building large-scale Marketplace discovery experiences across web, mobile, and orchestration platforms. Drive architecture, scalability, reliability, execution, experimentation, observability, CI/CD, and production issue resolution. Partner with Product, UX, Data Science, Analytics, and Business teams on strategy and roadmaps while fostering innovation, inclusion, ownership, and talent development.

Lead a team to improve the reliability of advanced compute clusters and manage failure analysis and debugging processes.

Manage and mentor a growing team of engineers, prioritize projects, ensure high-quality deliverables, and foster an inclusive work environment.