Top Engineering Jobs in Toronto

Develops, optimizes, and sustains Atmospheric Plasma Spray and related coating processes for fuel cell and automotive products. Provides production, maintenance, and quality support; establishes process parameters and work instructions; conducts trials, experiments, data analysis, capacity studies, and root-cause investigations. Supports APQP, prototypes, inspections, equipment troubleshooting, continuous improvement, operator training, and compliance with quality and environmental standards.

Lead and grow Sentry’s design engineering team responsible for the Scraps design system. Own the strategic roadmap, maintain UI quality, align Figma designs with production code, build React components and AI-enabled frontend infrastructure, and drive adoption through documentation, lint rules, and contribution workflows. Manage hiring, leveling, coaching, and collaboration across designers and engineers while remaining hands-on with component APIs, tokens, variables, and design system implementation.

Software engineering interns will complete scoped technical projects, build and test production-oriented code, contribute to Pinterest products and infrastructure, and collaborate with engineering, product, design, data, and mentors. Interns will develop professional skills, use AI responsibly in software development, participate in learning opportunities, and contribute ideas while gaining experience with large-scale systems.

As a Software Engineer - AI, you will design, develop, and deploy AI solutions for legal applications, working with clients and technical teams to enhance legal workflows and improve AI outputs.

Develop and support SimCorp Data Ingestion software within an agile engineering team. Design solutions, implement and test C#/.NET applications, improve test automation and quality engineering practices, apply AI-assisted development and testing, and support CI/CD, Azure cloud transformation, performance, scalability, observability, and production operations.

Build and operate platform security services for Auth0 using Python, Node.js, or Golang. Design scalable security data pipelines, resilient microservices, cloud integrations, and platform security controls. Apply secure coding practices, manage service permissions, participate in technical design and code reviews, and maintain high engineering standards across AWS or Azure containerized environments.

Leads capital engineering and manufacturing improvement projects from concept through commissioning. Responsibilities include project justification, budgeting, risk analysis, vendor selection, equipment specifications, factory and site acceptance testing, plant layout, contractor management, handover, automation, continuous improvement, and OEE improvement. The role also coaches colleagues and collaborates cross-functionally to implement new manufacturing and packaging processes in a GMP-compliant plant environment.

Build and operate customer-facing SaaS applications using Java, Spring, React, and TypeScript. Own complex features from design through production support, develop APIs and distributed systems, improve frontend experiences, apply AI-assisted coding tools, modernize legacy software, strengthen CI/CD and observability, and mentor engineers through technical leadership and code reviews.

Leads the Landing Pages engineering team and product, overseeing architecture, development, platform scalability, APIs, integrations, hosting, reporting, and customer adoption. Partners with product and design to prioritize initiatives using usage data, while recruiting, coaching, and retaining engineers. Owns the team’s vision, goals, processes, and technical execution, contributing directly to code and key architectural decisions when needed.

Engineering Manager, Applied AI leads and coaches engineers while remaining hands-on on client engagements. Responsibilities include reviewing architecture, agent, prompt, and evaluation designs; resolving technical and client challenges; managing staffing and delivery; hiring and onboarding engineers; and improving engineering practices. The role requires strong software engineering experience, Python expertise, client-facing delivery experience, and familiarity with agents, evaluations, multi-agent systems, and AI coding tools.

Leads a cloud platform engineering team responsible for cloud architecture, standards, automation, security, reliability, availability, and performance. Partners with architecture, risk, security, and application teams to deliver resilient cloud services and platform capabilities. Oversees cloud infrastructure enhancements, controls, observability, and operational excellence while managing staff development, hiring, performance, and technical strategy.

Leads and develops engineering teams while remaining hands-on with applied AI architecture, agents, prompts, evaluations, and production systems. Owns technical decisions, staffing, hiring, client engagement delivery, and converting lessons across projects into repeatable practices and platform capabilities. Requires strong software engineering depth, Python expertise, client-facing delivery experience, and familiarity with agentic and multi-agent systems.

Leads and scales Scribd’s Analytics Engineering organization, building high-performing teams and governed data foundations for AI-driven decision-making. Oversees canonical data models, semantic layers, quality, observability, documentation, security, lineage, and platform standards. Partners with engineering and business leaders to guide architecture, prioritize investments, and deliver reliable data products with measurable impact. Requires strong technical judgment, advanced SQL, modern data stack experience, cross-functional leadership, and 10+ years of relevant experience.

Provides senior technical leadership for enterprise Site Reliability Engineering, focusing on platform reliability, resilience, automation, observability, AIOps, cloud modernization, and operational excellence. The role establishes reliability objectives, leads automated remediation and infrastructure-as-code initiatives, advances monitoring and telemetry, supports transformation programs, and mentors engineers through influence rather than direct people management.

Lead and build the Digital Assets engineering practice, owning architecture, delivery, security, vendor strategy, and regulatory alignment for tokenized deposits. Hire and develop senior engineers, enforce engineering standards, and report progress and risks to executive and control stakeholders.

Leads mechanical engineering design and delivery for hyperscale and mission-critical data centers. Responsibilities include designing cooling, HVAC, plumbing, and fire protection systems; coordinating multidisciplinary teams; preparing technical documentation; reviewing deliverables; supporting construction and commissioning; ensuring code compliance; optimizing energy performance; advising clients; contributing to business development; and mentoring engineers. The role is remote anywhere in Canada with periodic travel for client meetings, site visits, commissioning, and project collaboration.

Lead SOC engineering and detection capability strategy, owning SIEM and monitoring architecture, data pipelines, and detection engineering. Provide technical leadership during incidents, validate and tune detections, support adversary emulation exercises, and drive continuous improvement, automation, and platform modernization across security operations.

Lead Voyager, Relay’s applied AI and innovation engineering team. Own shared LLM infrastructure reliability, security, deployment, and monitoring; guide production agentic systems; lead emerging-technology research and proofs of concept; enable teams with AI tooling and patterns; oversee delivery and engineering processes; and hire, coach, and develop senior and staff engineers.

Lead and manage MongoDB’s Storage Execution team, owning the roadmap for durability, availability, performance, transactions, storage architecture, index operations, and developer productivity. Partner with adjacent engineering and cloud teams, manage customer escalations, drive cross-team initiatives, improve engineering processes, and develop engineers through hiring, coaching, and performance management.

Lead and grow a solution engineering team for AI-powered Dynamics 365 business solutions. Own technical win strategy, coach demos and solution design, partner with sales to convert pipeline, enable value assessments, manage proposals, and align with partners and Customer Success to achieve revenue and deployment outcomes.

Leads a team of application development engineers delivering complex enterprise software solutions. Oversees project scope, schedules, budgets, vendors, risks, security, service transitions, prototypes, staffing, performance management, and technical development. Partners with architects, data specialists, Security, and SRE teams while ensuring application quality, stability, and policy compliance. Requires strong leadership, communication, coaching, application architecture, DevOps, Agile, database, and data governance expertise.

Leads project engineering teams by coaching employees, managing staffing and utilization, overseeing project quality, schedules, costs, budgets, forecasts, and risks. Participates in technical sales reviews, project turnovers, process improvement, customer engagement, recruiting, and onboarding. Requires engineering leadership experience, material handling or logistics automation expertise, strong communication and problem-solving skills, and approximately 10% travel.

Leads strategy and execution for large-scale data engineering and analytics programs. Coordinates engineering, data science, product, and business stakeholders; manages roadmaps, dependencies, milestones, risks, reporting, and delivery. Ensures data definitions, transformations, models, and downstream analytics remain accurate and fit for purpose while navigating complex, ambiguous initiatives involving multiple teams and partners.

Lead complex enterprise SaaS sales for engineering firms across North America. Manage the full sales cycle from qualified leads and discovery through pilots, procurement, negotiation, and multi-year contract close. Build relationships with executives, engineers, and internal champions; generate outbound pipeline; represent the company at industry events; and collaborate with Product, Marketing, and Customer Success to support onboarding and expansion.

Leads Gartner research and thought leadership on applying AI and agentic capabilities across software engineering. Advises global software engineering executives on AI strategy, opportunity prioritization, roadmap planning, value measurement, ROI, and developer productivity. Produces research, market analysis, presentations, and client recommendations; supports sales and conferences; mentors analysts; and contributes to research strategy and process improvements.