Top Engineering Jobs in Toronto

Lead BuildOps’ unified Data and AI engineering function, owning data platform architecture, pipelines, onboarding, governance, reliability, and ML infrastructure. Build and scale a high-performing data engineering organization, establish production-grade monitoring and incident practices, and deliver trusted data products for B2B SaaS customers. Define long-term data strategy, guide architectural decisions, and partner across technical and business teams while remaining hands-on with implementation and operational responsibility.

Manufacturing engineering student supporting automotive production through continuous improvement, process development, operational analysis, quality initiatives, and productivity improvements. Responsibilities include improving OEE, reducing costs and bottlenecks, developing molding and assembly processes, creating work instructions and process documentation, supporting APQP, implementing corrective actions, and maintaining lean manufacturing and safety standards.

Leads a team of engineering technicians supporting Honeywell Aerospace’s electronic fabrication business. Provides technical guidance, troubleshoots mechanical and engineering-process issues, collaborates with cross-functional teams, drives continuous improvement, implements best practices, and ensures quality, efficiency, and timely project delivery.

Design and implement data engineering, governance, Collibra, metadata management, and data lineage solutions for financial services clients. Establish data quality standards, governance controls, ownership workflows, and regulatory data practices. Integrate and optimize data pipelines and governance tools while collaborating with architects, business stakeholders, and technology teams. The role requires strong SQL, ETL/ELT, data governance, and Collibra expertise, with optional cloud, DevOps, Agile, and financial services experience.

Leads and mentors a backend engineering team while remaining hands-on with software development. Responsibilities include prioritizing and executing projects, defining technical strategy and roadmaps, coordinating cross-functional teams, guiding technical decisions, improving user workflows, and hiring, developing, and retaining engineers.

Leads data engineering for cyber analytics by designing pipelines, ETL processes, storage, graph databases, and data models. Partners with data scientists and technology teams to integrate ML and AI solutions, manage production deployments, and build cohesive analytical datasets. Oversees and develops a team of data engineers, manages priorities, and collaborates with technical and business stakeholders.

Turner & Townsend seeks expressions of interest from Indigenous Peoples in Canada for various roles across project management, engineering, and sustainability.

Lead and develop distributed engineering teams building endpoint security sensor components across Windows, macOS, and Linux. Own the team roadmap, architecture, delivery, testing, performance, code quality, and safe releases. Guide systems-level development involving file systems, memory, processes, networking, and OS internals. Coach engineers, drive cross-team alignment, and support secure, reliable, high-performance software deployment at scale.

Leads a team developing AI capabilities for CrowdStrike’s cross-platform endpoint sensor. Owns the AI-on-endpoint roadmap, including machine learning model operationalization, telemetry data pipelines, on-device inference, architecture, feature delivery, and cross-functional collaboration. Manages hiring, mentoring, engineering quality, testing, performance, and releases across Windows, macOS, and Linux sensor platforms.

Lead PagerDuty’s Release Engineering team and set the company-wide roadmap for software build, testing, deployment, and delivery. Drive GitOps adoption, CI/CD platform migration, isolated testing environments, automated quality checks, progressive delivery, and delivery metrics. Manage CI and AI tooling costs, hire and coach senior engineers, communicate technical tradeoffs to executives, and guide platform adoption across Engineering.

Lead North American software engineering teams supporting retirement technology products. Responsibilities include hiring and developing engineers, establishing architecture and engineering standards, improving software delivery and operations, guiding AI-native engineering practices, and executing initiatives across multiple applications and teams. The role partners with Product Management on roadmaps, manages dependencies, removes blockers, and promotes quality, security, compliance, accessibility, ownership, and continuous improvement.

Leads HPE’s Canadian Presales Engineering organization, setting strategy, managing budgets and resources, developing technical sales leaders, and driving revenue growth. Builds executive customer and partner relationships, aligns presales teams with sales and product organizations, influences product direction, and ensures operational excellence across Canada and global counterparts. The role requires strong business acumen, enterprise technology expertise, cross-functional leadership, and travel across Canada, the United States, and internationally.

Designs, builds, and operates scalable internal applications, backend services, APIs, integrations, and automated employee workflows. Owns solutions from architecture through deployment and support while improving reliability, observability, performance, and maintainability. Collaborates across engineering, product, design, security, and People Technology teams; provides technical leadership through architecture reviews, code reviews, mentoring, and roadmap contributions. The role also explores AI-powered capabilities to improve employee workflows and engineering productivity.

Principal Engineer responsible for defining the long-term architecture and modernization strategy for GitLab’s Fulfillment platform. The role drives technical direction across entitlements, licensing, provisioning, seat management, usage visibility, and cost management. Responsibilities include hands-on distributed systems engineering, migrations, performance and reliability improvements, cross-team influence, AI-assisted engineering adoption, and mentoring senior technical staff.

Directs hotel engineering and facility operations, ensuring building safety, regulatory compliance, maintenance, energy conservation, and system functionality. Leads capital improvements, property rehabilitations, contractor bidding, licensing, budgeting, and scheduling. Oversees daily department operations, inventory, forecasting, guest service initiatives, and quality standards while developing and retaining a high-performing engineering team.

Develop and scale AI-powered developer productivity capabilities, enterprise developer tooling, CI/CD systems, internal platforms, and full-stack applications. Optimize developer workflows, infrastructure, build systems, GitHub ecosystems, and code review processes. Collaborate with engineering, product, and business leaders to deliver reliable technical solutions, evaluate emerging technologies, solve complex problems, mentor engineers, and promote continuous learning.

Leads and grows an engineering team building financial and supply chain platforms, including agentic workflow automation, reporting, forecasting, tax, compliance, and operational systems. Sets technical direction, architecture, roadmap, and delivery practices while partnering with Finance, Accounting, Tax, Compliance, Product, and Operations. Ensures reliability, security, scalability, testing, observability, and operational excellence, while developing engineers, future leaders, and a healthy engineering culture.

Partners with senior Engineering leaders to shape people strategy, organization design, job architecture, talent processes, leadership effectiveness, and culture. Advises on global teams, change management, calibrations, career paths, and organizational transformations. Uses data and feedback to improve engagement and performance, collaborates with People and Talent teams, and supports Engineering offsites and leadership forums across globally distributed teams.

Leads the Core Platform organization for Magna’s Unified Factory Platform, defining long-term architecture and technical strategy across distributed systems, IoT, APIs, data pipelines, cloud infrastructure, and SaaS scalability. Builds and manages engineering teams, drives reliability, security, operational excellence, deployment velocity, and performance metrics, and partners with Product, Hardware, Customer Success, and executive stakeholders. The role also oversees global compliance, platform commercialization, and multi-year roadmap execution.

Leads Marketing and Consumer Privacy Engineering teams, developing engineers and establishing a shared operating model. Translates business and product priorities into engineering plans across logged-out web, experimentation, marketing integrations, attribution, measurement, consent, privacy experiences, and consumer data collection. Partners with Product, Marketing, Privacy, Legal, and Engineering stakeholders to deliver reliable, scalable, privacy-aware systems while balancing customer needs, quality, speed, and risk.

Manage the AMER Support Engineering team, including hiring, mentorship, performance development, and technical growth. Lead customer support quality, process improvement, automation, AI adoption, and cross-functional collaboration. Build scalable workflows, promote team ownership and psychological safety, and ensure Support Engineers resolve complex technical issues throughout the support lifecycle. Partner with product and development teams to improve customer outcomes and support efficiency.

Leads GitLab’s Dedicated Infrastructure team, combining technical leadership and people management. Responsibilities include guiding architecture, maintaining high availability and security, automating provisioning and operations, improving self-service platforms, managing incidents, recruiting and developing team members, using AI to improve productivity, and prioritizing work through data and risk analysis. The role requires expertise in distributed services, fleet management, Terraform, AWS, high-availability operations, remote team leadership, and complex project delivery.

Lead the design, development, testing, implementation, and support of cross-functional applications and scalable Azure data platforms. Build and govern solutions using Databricks, Synapse, Delta Lake, PySpark, Spark SQL, Azure Data Factory, and Python. Translate business requirements into technical designs, conduct code reviews, ensure security and observability, and coach developers through indirect leadership while partnering with business and technology stakeholders.

Leads the architectural vision, engineering roadmap, and multiple teams responsible for Customer Identity and Access Management platforms. Oversees authentication, authorization, SSO, MFA, federated protocols, reliability, security, vendor governance, delivery standards, and modernization initiatives. Partners with cybersecurity, architecture, product, and digital channel teams while developing engineering talent and ensuring highly available, compliant identity services.

Leads data engineering and ML Ops strategy, infrastructure, pipelines, model deployment, monitoring, and optimization. Oversees data engineers, establishes data-centric practices, ensures scalable and secure systems, and partners with data scientists and cross-functional teams. Responsibilities include roadmap planning, team development, compliance, resource allocation, continuous improvement, and adoption of modern cloud, data engineering, and machine learning technologies.