Top Engineering Jobs in Toronto

Lead and grow a team building secure, full-stack account management and identity services. Drive frontend and backend architecture, reliability, technical roadmaps, security practices, AI adoption, and cross-functional collaboration. Hire, coach, and mentor engineers while maintaining production-scale systems with stringent SLOs. Guide authorization, multi-tenant modeling, APIs, migrations, vendor evaluations, and developer-facing tools.

Leads Redis’s Cloud Platform Engineering team in Vancouver, defining multi-year infrastructure strategy and building scalable, reliable platform services across AWS and GCP. Responsibilities include managing engineers, designing control planes and APIs, guiding Kubernetes and multi-cloud infrastructure, establishing observability and reliability standards, strengthening security and tenant isolation, and partnering cross-functionally. The role also champions LLM and AI-assisted development tools and contributes to company-wide platform strategy.

Leads a platform engineering team responsible for infrastructure and shared services supporting scalable Redis applications. Owns team development, execution, roadmap planning, resource allocation, architecture guidance, reliability, operational readiness, incident response, and cross-functional partnerships. Oversees platform capabilities including Kubernetes, deployment automation, lifecycle APIs, observability, identity and access, and operational tooling across cloud, hybrid, and on-premise environments. Promotes responsible AI-assisted development and continuous improvement.

Design and build scalable data architectures and analytics-ready models. Create ER diagrams and manage schema lifecycle. Develop and optimize ETL/ELT pipelines using SSIS, ADF, Alteryx, and Power Automate. Work across SQL Server, Databricks, MySQL, and PostgreSQL. Translate OLTP sources into OLAP warehouses/marts, troubleshoot data quality and performance, and deliver client-facing consulting, architecture documentation, and technical solutions.

Lead design and delivery of enterprise integrations, automations, and platform initiatives across ERP, Billing, CRM, HRIS and data pipelines. Drive API and middleware strategies, migrations, decommissioning, data retention, deployment and rollback plans. Provide technical leadership, stakeholder alignment, delivery oversight, and promote AI-enabled, secure, and maintainable solutions.

Lead and grow an ML infrastructure team to build, scale, and operate training, deployment, and agent/LLM systems across on-prem and cloud HPC. Partner with research, ML engineering, and platform teams to translate requirements into robust MLOps solutions, optimize GPU utilization, and establish company-wide ML infrastructure standards while mentoring engineers and driving model-driven practices.

Lead a ~50-engineer organization responsible for Transitions of Care. Define engineering strategy and roadmaps with Product, drive technical architecture across cloud platforms, scale AI-enabled products, mentor managers, lead hiring and succession planning, and ensure delivery of large-scale, secure, and reliable cloud solutions while fostering Agile/Kanban practices and cross-functional collaboration.

Lead and develop engineering teams to design, build, test, and deliver scalable customer-facing and backend software. Hire and coach engineers, manage delivery, enforce engineering best practices, participate in architecture and coding, and collaborate with Product, QA, and Operations to ensure reliable, observable releases and roadmap alignment.

The Senior Manager of Data Engineering leads a team in developing data and AI products, guiding architecture and design, and ensuring process improvements while managing stakeholder expectations and technical implementation.

The Engineering Manager will lead the development of a scalable Search Platform, mentor teams, manage business outcomes, and enhance engineering efficiency while ensuring high-quality software delivery.

Lead a team delivering low-latency Java services for credit decisioning, overseeing architecture, data integration, platform reliability, and team development.

Lead engineering teams to design and deliver web, mobile, and cloud solutions; define architecture and development plans; manage projects end-to-end; enforce testing and code quality; mentor engineers; drive Agile practices; collaborate on talent acquisition, resource planning, and stakeholder communication.

Hands-on staff engineer who designs, builds, and ships AI-powered applications and orchestration. Leads architecture, platform development, integrations, and production delivery while ensuring security, observability, and measurable business impact.

Design, build, optimize, and monitor scalable data products, pipelines, APIs and analytics solutions on Azure. Mentor junior engineers, implement CI/CD and infrastructure-as-code, ensure security and performance, and partner with stakeholders to deliver production-ready data for analytics and automation.

Lead cross-functional teams of machine learning engineers and data scientists, driving technical direction and fostering a collaborative environment to develop high-quality ML-driven capabilities.

Lead the Platform Software Engineering team building and scaling core data infrastructure for research, market-making, and risk platforms. Hands-on role combining individual contributor work, system architecture, cross-functional project leadership, and people management while collaborating with Research and Business Operations.

Lead the Reporting team at Vanta, focusing on AI-powered reporting and compliance. Drive execution across initiatives and shape technical strategies in collaboration with cross-functional teams.

The Mechanical Engineering Lead oversees mechanical engineering requirements for capital projects, ensuring designs meet specifications while providing technical leadership and quality assurance throughout project phases.

The Electrical Engineering Lead oversees external design partners, defining requirements and validating designs for electrical systems in capital projects while ensuring safety, reliability, and compliance with engineering standards.

Lead the owner's engineering team overseeing major capital projects, ensuring technical quality and alignment with business goals. Responsibilities include project execution planning, engineering governance, and resource management.

Work on designing, training, and deploying scalable ML models for credit risk, fraud detection, and personalization. Build ML pipelines for low-latency inference, automate experimentation and hyperparameter tuning, support full ML lifecycle (feature engineering, evaluation, A/B testing, monitoring for drift), and experiment with deep learning and reinforcement learning techniques while ensuring compliance and scalability in a fast-growing FinTech.

The Head of Engineering will lead a senior team to deliver innovative mobile technology, manage the technical roadmap, and integrate AI tooling into workflows.

Lead the Development Support team to investigate and resolve production issues across PHP, MySQL, and React platforms. Serve as technical escalation for incidents, write production code, conduct code reviews, mentor developers, improve monitoring/observability, own deployments, reduce technical debt, and partner with cross-functional teams to improve platform reliability and performance.

Lead and manage forward-deployed engineering teams to design, build, and deliver scalable, secure LLM/AI solutions for customers. Provide technical architecture guidance, drive MLOps/LLMOps best practices, oversee delivery of POCs and production systems, hire and develop engineers, and collaborate with Product, Sales, and Customer Success to shape product roadmaps and reusable AI frameworks.

As an Engineering Manager at Harvey, you will lead a full-stack team, oversee core product delivery, and ensure high-quality user experiences by combining technical design and product vision.