Top Engineering Jobs in Toronto

Lead and develop Tech Leads and software teams to deliver cloud-native, API-centric solutions. Drive hiring, performance, architecture alignment, code reviews, process improvements, cross-functional collaboration, and AI-first engineering adoption while ensuring team health and delivery.

Lead and/or staff-level technical roles to design, build, and operate petabyte-scale batch and streaming data pipelines, APIs, and analytical platforms. Responsibilities include platform architecture, data modeling, query and API design, reliability, observability, performance optimization, cross-team coordination, and mentoring engineers through a transformation to workload-aware, near real-time data systems.

Develop and deploy deep learning models across vision, language, audio, and multimodal domains; build end-to-end workflows from data curation to on-device or cloud deployment; prototype and integrate generative and foundation-model research into product features; collaborate cross-functionally and publish or patent innovations.

As a Senior Engineering Manager in Data Engineering, you'll lead a team to build a Data Platform, improve engineering practices, and ensure project delivery through effective collaboration and system architecture design.

As a Machine Learning Engineer II, you will build advanced ML models and systems, collaborate with teams, and improve personalized experiences on Pinterest.

As Senior Manager/Manager, you will manage the Supply Chain Engineering team, design facilities, optimize operations, and integrate solutions to enhance supply chain performance.

Lead a backend engineering team, focusing on scalable systems, software design practices, and team development. Ensure high-quality systems and deliverables through hands-on coding and technical leadership.

As a Sr. Engineering Program Manager, you will lead complex software programs by coordinating engineering, product, and cross-functional teams, ensuring on-time delivery and high quality while refining agile practices and improving communication.

Lead enterprise Generative AI strategy and engineering: select and deploy LLMs, design RAG and agentic systems, build production GenAI services, establish governance, observability, cost controls, and reusable accelerators while managing senior engineering teams and cross‑functional stakeholders.

Lead initiatives to foster engineering excellence, drive measurable improvements, and manage multiple programs while remaining technically active in coding and design discussions.

Lead a multi-site engineering team to develop and execute a 5-year capital plan and deliver capital projects across US and Canada. Oversee Capital Initiative Management, procurement strategy, project KPIs (safety, food safety, CQV, schedule, budget), mentor staff, and drive continuous improvement and cross-functional collaboration. ~50% travel.

Lead strategy and operations for Magnet's cloud platform and shared services, ensuring reliability, security, compliance, cost governance, and developer experience. Oversee cloud infrastructure, observability, CI/CD, identity services, FinOps, AI enablement, vendor management, and cross-functional initiatives to support large-scale SaaS products.

Senior staff individual contributor who architects, builds, and scales production Generative AI and LLM-powered systems and agents. Leads technical strategy, design reviews, model integration, evaluation, deployment, observability, and operational excellence across cross-functional teams while mentoring engineers and shipping high-impact AI features at ecommerce scale.

Lead and grow a mainframe engineering team to design, deliver, operate, and modernize core banking mainframe solutions. Provide technical leadership across architecture, incident management, roadmap execution, vendor engagement, and governance while ensuring compliance, cost optimization, and alignment with enterprise technology strategy.

Lead architecture and delivery of a composable, API-first Core Commerce Platform powering checkout, payments, OMS, inventory availability, loyalty, and post-order experiences. Drive integration of packaged solutions (SFCC, Fluent Commerce), payments, social and agentic commerce, and AI-native capabilities. Own SLAs, reliability, security (PCI-DSS), roadmap, and engineering standards while building and leading high-performing, on-site platform teams.

Lead engineering teams to design, deliver, and scale AI-powered automation across wealth and asset management. Partner with product, data science, and business stakeholders to drive enterprise-grade, compliant solutions from concept to production, manage roadmaps and delivery, champion DevOps/Agile practices, and provide executive reporting on outcomes and risks.

Lead delivery of enterprise solutions combining Microsoft Power Platform with modern front-end frameworks (React, Angular, Next.js) and Azure services. Guide architecture, integrate APIs, enforce security and scalability, mentor developers, drive AI-assisted development, and support client-facing discovery and solution strategy while growing practice capabilities and delivery standards.

The VP of Engineering will own engineering strategy, architecture, scaling, hiring, performance management, and people development. This hands-on leader will write and review code, establish technical direction across two pods, develop engineers into technical leads, represent engineering to executives, and partner cross-functionally to prioritize and deliver critical work. Experience in healthcare, HIPAA, or SOC 2 environments is preferred.

Lead and mentor a team of Forward Deployed Engineers to build and deploy agentic solutions with Cohere's North platform in on‑premises enterprise environments. Own technical implementation through delivery, collaborate with Product/Engineering/Sales, drive customer relationships, and scale agent development and deployment processes.

Leads the Data Collection engineering team responsible for Internet scanning, distributed systems, data pipelines, and operational tooling. Owns people development, technical roadmap, delivery, architecture, reliability, observability, incident management, and cost efficiency. Partners with Product, Research, Security, Infrastructure, and engineering stakeholders to translate priorities into production capabilities and measurable improvements in coverage, freshness, accuracy, scalability, and reliability.

Lead a Solutions Engineering team supporting commercial and channel-led opportunities across North America. Guide technical discovery, solution design, demonstrations, proofs of concept, and validation for identity and security solutions. Partner with Sales and channel partners throughout complex buying cycles, coach technical storytelling and executive communication, standardize presales practices, manage technical risks, and use customer feedback, metrics, AI, and automation to improve execution. Collaborate cross-functionally with Product, Marketing, Customer Success, and Engineering.

Lead Release Management, QA, and DevOps to build an automation-first quality engineering framework. Drive CI/CD, platform reliability, observability, and release gate processes across multi-platform (web and native) products. Coach QA toward automation, implement test data and environment standards, partner with product and support on release readiness and post-release remediation, and champion AI-assisted coding and testing adoption.

Leads 1Password’s analytics engineering function, owning data architecture, roadmap, modeling, semantic layers, BI tooling, pipelines, governance, testing, documentation, and data quality. Manages and develops analytics engineers, establishes technical standards, reviews complex dbt and SQL work, optimizes warehouse performance, and partners with senior leaders across Finance, Marketing, Product, Analytics, and Data Engineering. Builds trusted data foundations supporting company-wide decisions, AI initiatives, and generative BI.

Lead engineering execution and manage a senior team developing Thunderbolt, an open-source enterprise AI product. Establish scalable planning, code review, testing, release, documentation, and quality practices while contributing code and reviewing technical work. Partner with product and technical leadership to translate AI strategy into delivery plans, improve reliability and enterprise readiness, support customer-controlled architectures, and grow the engineering organization through hiring, coaching, and resource planning.

Lead and grow a compiler, kernel, and runtime engineering team responsible for accelerator bring-up across the Modular stack. Drive technical direction, architecture, coding, roadmap delivery, vendor partnerships, SOWs, milestones, cross-team dependencies, hiring, and production-quality model deployment across diverse hardware platforms.