Top Engineering Jobs in Toronto

The role involves leading product development for Video-based Safety using AI and ML, defining roadmaps, and collaborating with engineering and sales teams to enhance safety solutions.

As Staff Product Manager, lead product strategy for DocSend, manage product vision, define roadmaps, and drive business results through user insights and collaboration.

The Lead AI Technical Architect will define banking use cases, bridge business and tech stakeholders, and contribute to AI/ML product development in financial services.

Lead engineering teams at Capital One, mentor engineers, drive strategic initiatives, and develop technology capabilities for customer-focused applications.

Lead a team of analytics engineers to design and deliver advanced analytics, enterprise data models, and dashboards for private equity-backed clients. Translate business needs into EDA and pipelines, manage client relationships, drive process improvements, mentor juniors, and collaborate with data engineers to ensure data integrity and actionable insights for senior client executives.

Lead multiple analytics engagements end-to-end for PE-backed companies, manage and develop analytics teams, drive technical solutions (SQL/Python, enterprise data modeling), build C-suite relationships, contribute to business development and thought leadership, and ensure engagement profitability and operational value creation.

Work as an Associate Analytics Engineer to design, develop, and maintain enterprise data models, pipelines, and dashboards for private equity-backed clients. Assist client-facing discovery, exploratory analysis, team leadership, process improvements, cross-functional initiatives, and mentor junior staff while applying data visualization, modeling, and analytics best practices.

Support analytics engineering teams to design, develop, and maintain enterprise data models, pipelines, and BI dashboards. Perform exploratory data analysis and data wrangling, produce high-quality reports for senior client executives, assist engagement managers on deliverables and project management, and contribute to process improvements, specialization, and cross-functional initiatives.

The Sr. Engineer will develop AI tools for system engineering, support R&D teams with technology evaluations, and coordinate R&D programs.

The Sr Software Engineer will enhance platform performance, develop cloud-native systems, improve CI/CD processes, and oversee deliverables while collaborating with feature teams.

Enbridge seeks Indigenous professionals for various positions across Canada, emphasizing a commitment to inclusion and community engagement. Candidates from diverse skill levels are encouraged to apply, particularly in engineering, information systems, pipeline operations, accounting, and business roles.

Responsible for leading technical due diligence, asset assessments, capital planning, and managing projects while providing strategic advisory solutions to clients.

As an Engineering Manager for the Email team, you'll lead development, manage infrastructure for personalized emails, and oversee architectural decisions. You'll also recruit and mentor engineers while collaborating with product and design teams to enhance features and scale operations.

Lead and scale a global SRE organization to embed reliability across development lifecycle, own incident response and risk management programs, partner cross-functionally, hire and grow SRE, systems, and full-stack engineers, and drive operational excellence and resilience at scale.

Lead the Data Science team to implement advanced ML models in AdTech, optimizing bidding strategies and enhancing decision-making through Deep Learning architectures while managing team performance and collaboration.

Lead and grow the MongoDB Search Query Platform & Availability team, managing engineers, driving process improvements, and collaborating on new features.

Lead design and implementation of shared, reusable data models and a certified metrics layer. Standardize pipeline patterns, CI/CD, and governance; modernize orchestration and observability; partner with Data Science, Infrastructure, and Product to deliver reliable analytics pipelines and enable AI-native data development.

Lead two mobile pods (Platform and Product) to define cross-platform strategy, improve build/CI/CD and performance SLOs, deliver customer-facing features, drive platform migrations, and manage/hire 13-14 mobile engineers while enforcing engineering best practices and reliability.

The Global Process Safety Engineer drives process and equipment safety across McCain's manufacturing network, providing technical expertise and risk-based guidance to ensure safety standards are followed throughout the lifecycle of assets.

Lead the Platform Firmware team at Samsara, driving hardware program execution, managing firmware engineers, and collaborating with various stakeholders for high-quality hardware delivery.

Lead engineering teams for developer tooling and platform capabilities, focusing on improving software delivery consistency and reliability at GitLab.

Lead the Funding scrum team ensuring uptime of business-critical services. Manage technical quality, partner with stakeholders, and boost engineering productivity.

The Senior Data Engineer will develop and maintain data platforms on Google Cloud, optimize data pipelines, and support Data Science teams in model training and analytics, collaborating closely across departments.

The Engineering Manager leads Data Engineering teams, developing scalable data solutions and collaborating with stakeholders to drive McCain's digital transformation.

Lead and develop the Client Platform Engineering team, oversee endpoint platform management, and establish KPIs and operational processes while collaborating cross-functionally.