Top Engineering Jobs in Toronto

Lead and scale a Support Engineering team handling complex API and payments issues, own incident response and SLAs, build operational processes, drive metrics and automation, partner cross-functionally, and hire and develop team members.

Lead a software engineering team building omnichannel commerce services (inventory, delivery promise, integrations). Drive execution (OKRs, sprints, capacity, risk), engineering quality, metrics, AI-assisted practices, stakeholder collaboration, hiring, and vendor management to deliver reliable, scalable commerce capabilities.

Lead and grow a software engineering team building personalization, recommendation, and consumer intelligence services. Own delivery planning, OKRs, sprint execution, quality, CI/CD, experimentation adoption, metrics, vendor management, and coaching to drive reliable, data-driven consumer engagement experiences.

Lead platform engineering teams to execute platform strategy, roadmaps, and integration capabilities. Drive platform adoption, developer enablement, test automation, quality engineering, observability, AI-assisted tooling, and engineering productivity. Manage delivery planning, OKRs, sprints, capacity, dependencies, vendors, and stakeholder engagement while coaching and growing high-performing engineering teams.

Evaluate and label model-generated and human-written software engineering outputs for coding, debugging, and codebase-related tasks. Assess agent trajectories, prompt models for complex coding tasks, proofread and improve responses, and report quality and performance trends. Part-time contractor role contributing to model development.

Lead a squad as a player‑coach building event-driven, high-throughput, low-latency platform services and AI/ML pipelines. Implement Go services, connectors, and real-time WebSocket backends; own latency budgets, delivery, code quality, and weekly demos.

Lead day-to-day engineering for an AI-first SaaS platform, owning delivery, hiring, squad performance, architecture reviews, cross-team dependencies, and driving AI-assisted engineering practices to ship weekly demos at high quality.

Lead and manage software and QA engineers to deliver cloud-managed video appliance software. Own release planning and execution, improve release processes and tooling, guide architecture and technical direction, coordinate cross-functionally, monitor device health in the field, and identify AI-driven automation opportunities within development workflows.

Lead end-to-end analytics for business decisions using data insights and AI/ML. Collaborate with cross-functional teams to build scalable solutions and drive advanced analytics adoption, delivering actionable insights and compelling visualizations.

Manage HR administration and employee records; coordinate recruitment, screening, interviews, onboarding and job fairs; respond to HR inquiries; process terminations and employment letters; support HR programs and policy implementation; provide basic HR advice and collaborate with HR teams across Canada. Role may require travel across North America.

Partner with founders to build and scale engineering teams, define technical strategy and architecture, establish CI/CD and DevOps practices, oversee infrastructure and reliability, drive high-velocity delivery, and hire and develop top engineering talent at high-growth startups.

Lead two product-focused engineering teams via Engineering Leads to deliver and scale school fundraising products. Own delivery, capacity planning, technical direction (React, .NET, microservices on Azure), team health, and cross-functional collaboration with Product, Design, QA, and Support.

Lead and mature SRE and resilience practices across hybrid environments. Build SLIs/SLOs, improve incident response, automate operations, manage backup/cyber recovery (Rubrik), run resilience testing, and lead engineers while partnering with cloud, security, vendors and business stakeholders to ensure recoverability and service reliability.

Mechanical Engineering intern will support AEC projects by gaining practical experience, assisting with design tasks, using CAD tools, collaborating with project teams, performing onsite/project-location duties as needed, and learning from industry engineers to contribute to meaningful building and infrastructure projects.

Own program execution for satellite engineering roadmaps: build schedules, manage dependencies and resources, surface risks, translate roadmaps into release plans, and partner with leadership on prioritization and staffing to ensure on-time delivery of integrated hardware/software systems.

The Director of Business for the QVEX Robotics Team is responsible for creating sponsorship packages, managing communications with sponsors, organizing outreach events, and maintaining the team's public image.

The Director of Electrical leads the development of electrical subsystems, manages project timelines, and oversees the team in designing custom electronics for competitive robots.

Coordinate various aspects of the CIRQUE conference including relationships with sponsors, marketing strategies, logistics, and IT support.

As the Director of EDII-AS, you'll enhance learning and inclusivity across SHDT, managing sub-teams and facilitating workshops and outreach initiatives.

Lead and scale a global, fully remote engineering organization. Drive technical strategy for scalable, low-latency ad tech systems, manage Engineering Managers and engineers, reduce technical debt, enforce security and compliance, implement DORA/SPACE metrics, and integrate AI-augmented tooling to improve delivery velocity, quality, and developer productivity.

Lead and scale a global, fully-remote engineering organization: define organizational design and career ladders; ensure platform scalability, security, and performance; manage technical debt; implement engineering metrics (DORA/SPACE); and drive AI integration to improve delivery velocity, deployment frequency, and team retention.

Lead and grow a platform engineering team focused on Infrastructure, SRE, and DevOps. Set technical direction, deliver platform roadmaps, oversee cloud infrastructure and deployment pipelines, build AI-powered internal tools, improve developer experience, own incident management and on-call sustainability, and collaborate with product, security, and compliance to ensure secure, scalable, observable systems.

Lead and mentor a GPU infrastructure engineering team to design, deploy, and scale GPU/TPU clusters. Define technical roadmap, implement topology-aware scheduling, monitoring, IaC, and cost/capacity optimization. Collaborate with AI researchers, cloud providers, and cross-functional teams to ensure reliable, secure, and performant infrastructure.

Design, develop, test, and deploy high-performance Apache Spark/Scala data processing applications and ETL pipelines on Cloudera (CDH). Optimize Spark and platform performance, build data pipelines using HDFS, Hive, Impala, HBase, and Kafka, ensure data integrity and security, collaborate with data scientists and analysts, and implement version control and CI/CD for deployments.

Design and architect large-scale distributed big data solutions and ETL pipelines using Java, Scala, and Spark. Build and optimize Spark applications on Cloudera CDH (HDFS, Hive, Impala, HBase, Kafka). Ensure data integrity, troubleshoot performance issues, and implement version control and CI/CD for Spark workloads while collaborating with cross-functional teams.