Top Engineering Jobs in Toronto

Supervises complex engineering assignments involving design, development, analysis, testing, specifications, field execution, and problem resolution. Ensures compliance with engineering standards, manages team performance, develops improved products and methods, evaluates best practices, supports product lifecycle initiatives, resolves technical issues, and mentors less experienced engineers. The role requires advanced technical expertise, leadership, and collaboration across projects and customer engagements.

Leads enterprise data engineering, master data, and product data functions. Owns scalable SAP-to-Snowflake pipelines, SAP BW migration, vendor product-data ingestion, PIM and MDM strategy, data governance, quality, lineage, privacy, and platform cost optimization. Develops the data engineering roadmap, supports personalization and data science initiatives, resolves incidents, and builds a high-performing cross-functional team.

Lead Stripe’s engineering team responsible for Requirements Management APIs and infrastructure supporting risk requirements across onboarding, monitoring, and regulated financial products. Define strategy and roadmaps, guide scalable and reliable architecture, manage complex cross-team workstreams, develop senior engineering talent, recruit, and align stakeholders across Risk, Product, Data Science, Design, and Engineering. The role requires strong technical judgment, operational rigor, and autonomous organizational leadership.

Lead GTM intelligence and AI strategy for Revenue Operations: build AI/LLM-powered insight products, deploy an AI agent platform, translate CRM/usage/financial data into decision-grade outputs, partner with senior GTM leaders, and build a high-performing GTM Engineering team to operationalize AI across sales, marketing, and success.

Lead product strategy for GitLab's engineering analytics and insights platform, define multi-horizon roadmap, partner with data and engineering teams to build pipelines, knowledge graph integrations, dashboards, and conversational AI experiences that turn engineering data into decision-ready intelligence for software leaders.

Leads TTEC Digital’s GCP data engineering practice, including enterprise data architecture, ingestion pipelines, real-time analytics, lakehouse platforms, governance, security, GenAI infrastructure, and cloud cost optimization. Oversees GCP solution delivery, client and executive engagements, presales support, CI/CD, infrastructure as code, data quality, and monitoring. Manages and mentors agile engineering teams while driving talent development, certifications, and practice growth.

Tests and verifies pump performance by setting up test loops, conducting laboratory and development tests, collecting and analyzing data, maintaining test equipment and calibration records, inspecting components, and documenting issues. The role also supports prototype assembly, rework instructions, quality investigations, safety compliance, and collaboration with engineering and machine shop teams.

Supports mechanical design and construction administration for building projects. Responsibilities include designing HVAC, plumbing, and fire protection systems; performing HVAC calculations using Carrier HAP; preparing spreadsheets, reports, drawings, and design documentation; and assisting with 2D and 3D drafting in AutoCAD, MicroStation, and Revit under the supervision of experienced engineers. The role involves data analysis, teamwork, communication, and occasional out-of-town travel.

Own end-to-end software development and delivery while leading a distributed engineering team. Responsibilities include architecture, coding, code reviews, deployment, DevOps, production reliability, security, performance, incident response, and mentoring. The manager partners with Product and Design, drives technical and product improvements, uses AI tools to enhance engineering productivity, and builds a culture of accountability, autonomy, and continuous improvement.

Leads a data engineering team responsible for large-scale streaming and batch ingestion pipelines, data transformations, and semantic data domains. Oversees architecture, implementation, reliability, observability, performance, and data quality improvements while mentoring engineers and driving delivery. Collaborates with product, engineering, support, and business teams, and promotes AI-assisted development and modern data architecture.

Oversee warehouse sorting, rework, quarantine, inspection, and quality assurance activities. Coordinate with QA, logistics, delivery, warehouse, and manufacturing teams to manage nonconforming products, suspect materials, documentation, inventory, shipments, and cost logs. Support prototype inspections, drawing-spec verification, safety compliance, design changes, and quality improvement reporting. The role requires technical manufacturing knowledge, measurement skills, documentation proficiency, physical warehouse activity, overtime flexibility, and a valid driver’s license.

Oversee warehouse quality activities, including sorting, rework, quarantine, inspection, nonconformance reporting, documentation, inventory control, and shipment coordination. Track suspect and certified materials, support prototype inspections and manufacturing improvements, maintain QA cost records, and enforce warehouse safety protocols. The role requires manufacturing quality experience, technical drawing interpretation, measurement skills, data recording, physical warehouse work, overtime availability, and a valid driver’s license.

Design and build scalable Python backend applications and RESTful APIs, develop and optimize prompts and Generative AI solutions (LLMs), integrate AI capabilities into enterprise systems, collaborate with architects and data specialists, and contribute to code reviews and continuous improvement.

Build and maintain the TypeScript-based Duo Client SDK, including Node.js core packages, public APIs, browser-compatible modules, Vue 3 client components, and platform adapters. Responsibilities include migrating consumers from the GitLab Language Server, managing versioning and deprecation paths, strengthening credential security, optimizing browser performance, writing tests, conducting code reviews, and participating in on-call support.

Performs entry-level electrical engineering work on building and infrastructure projects under the supervision of a Professional Engineer. Responsibilities include gathering engineering data, developing preliminary electrical solutions, supporting power system, load, short-circuit, lighting, and control designs, and collaborating with multidisciplinary teams. The role begins in May 2027 and requires a bachelor's degree in electrical engineering or a related field.

Design, build, test, deploy, and monitor scalable software systems for client organizations. Collaborate with engineers, product managers, and designers across distributed systems, APIs, data, cloud, and user-facing applications. Use AI-assisted development and integrate AI or LLM capabilities into products while working directly with clients in a collaborative consulting environment.

Lead GitLab’s Security Posture Management team within Product Security. Drive governed security capability rollouts across the software estate, establish secure configuration baselines, build software supply chain security, manage risk registers and posture metrics, support audit evidence, and provide customer-zero feedback to Product and Engineering. Hire, coach, and develop the team while representing GitLab’s security practices externally and driving measurable risk reduction in a remote, asynchronous environment.

Build and maintain the Python-based backend engine for GitLab Duo Chat, including agentic LangGraph flows, the Flow Registry, and Duo Workflow Service. Integrate chat capabilities with GitLab’s Rails monolith and GraphQL API, develop secure and tested high-scale features, optimize performance, review code, address technical debt, and collaborate cross-functionally. Participate in weekday, weekend, and occasional nighttime Tier 2 or Tier 3 on-call rotations.

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.

Leads Affirm’s Resilience Engineering team, defining strategy and managing engineers who build platforms for safe production load testing and chaos engineering. Owns fault-injection and experimentation systems, safeguards, observability, rollback mechanisms, monitoring, and incident response practices. Partners cross-functionally to identify systemic weaknesses, improve reliability, and embed resilience validation into engineering workflows. Requires leadership experience in reliability, infrastructure, or distributed systems and hands-on expertise with production testing, chaos engineering, cloud-native environments, and distributed-system failure modes.

Participate in a four-month software engineering rotation supporting enterprise-scale financial technology platforms. Design, develop, test, debug, and deploy applications while applying software development, architecture, CI/CD, security, and SDLC best practices. Collaborate with developers, architects, business stakeholders, and subject matter experts to translate requirements into technical solutions. Potential assignments include banking platforms, trading systems, customer experience, automation, cloud engineering, and data and analytics.

ML Engineering Intern supporting real-time markerless motion capture systems. Responsibilities include deploying and monitoring pose estimation models in the cloud, curating training data, evaluating model performance, diagnosing failure modes, running experiments, and improving deployment and data tooling. The role requires 3D computer vision knowledge, Python proficiency, and familiarity with deep learning, with opportunities to work on cloud infrastructure, containerization, model optimization, and robotics middleware.

As a Senior Developer in Partnership Engineering, you'll design integration patterns, build tooling for partnerships, and lead technical designs for complex integrations.

Lead organization-level architecture and technical direction for product engineering. Design and operate scalable, secure distributed systems and platform patterns, integrate AI safely into customer-facing products, improve reliability/observability, and drive cross-team alignment and long-term engineering sustainability.

Lead and grow a data engineering team to build and operate ingestion, transformation, orchestration, and serving layers. Drive data quality, observability, cost efficiency, self-serve analytics, engineering best practices, and cross-functional partnerships to deliver reliable, reusable data products for product, GTM, finance, and CTO stakeholders.