Top Engineering Jobs in Toronto

Provide tools and hands-on support to analog circuit and custom layout teams using Cadence EDA tools. Support design capture, pre/post-layout simulation, optimization, EM/IR and thermal analysis, reliability and 2.5D/3D IC flows, and develop AI-driven tooling and improvements to increase efficiency and quality.

Lead and grow a remote AI engineering organization, manage ~30 forward-deployed engineers, maintain technical standards for agentic full‑stack applications, review architectures, run performance management and hiring, support client engagements, and drive team enablement, evaluation harnesses, and MLOps practices.

The Client Solution Architect will lead complex implementations, drive client engagement, mentor teams, and establish standards within wealth management solutions.

The Quality Engineering Specialist will design and implement testing strategies, automate tests, analyze software requirements, and collaborate on maintaining high quality in application solutions.

As a Software Engineering Consultant, you will design, build and own the lifecycle of scalable software systems while collaborating with clients in various technical domains.

The Director of Engineering for the Exchange Platform at Index Exchange leads the optimization and innovation of a high-volume, low-latency platform while managing and mentoring cross-functional teams to drive performance improvements.

Lead and grow remote engineering teams across Supabase, owning people management, hiring, roadmap and delivery, incident command, SLOs, and cross-team coordination while driving engineering quality and async communication.

Lead and run engineering delivery end-to-end: own planning cadences, track projects, surface risks, command incident responses and run blameless RCAs, own delivery metrics, coach and grow engineers, run hiring pipeline, and enable the founder by removing operational load.

Lead a team of developers to architect and scale Node.js and Salesforce products, improve developer velocity, and enhance solution performance.

Lead and build shared AI infrastructure and production-grade agents for a product analytics team. Establish repo standards, evaluation tooling, governance compliance, monitor production agents, close data pipeline gaps, and drive adoption across ~35 analysts and 60+ products while interfacing with cross-team AI and data platform partners.

Lead and scale a global engineering organization to deliver enterprise-grade AI/GenAI SaaS products. Define technology strategy and roadmap, drive architecture for LLMs/RAG/NLP systems, ensure scalability/reliability, establish DevOps and quality practices, partner with Product/Sales/Customer teams, and manage hiring, budgets, and leadership development.

Lead and grow a Support Engineering team that resolves complex product issues, integrations, and data workflows. Define escalation and triage practices, build scalable diagnostics and internal tools, collaborate closely with Engineering and Product, mentor engineers on debugging, logs, and database querying, and create repeatable processes to improve customer outcomes and support efficiency.

Lead an engineering team building and operating a conversational AI platform: set technical roadmap, deliver scalable systems, collaborate with product, mentor engineers, and ensure reliability and performance.

Lead a small scrum team as hands-on technical authority, writing and reviewing full-stack C#/.NET, Angular, and Oracle code; run sprint ceremonies; drive AI-first tooling adoption; manage and develop 4–5 engineers; coordinate cross-functional delivery and client engagement.

Lead a small scrum team as the daily technical authority: write and review full-stack C#/.NET and Angular code, run scrum ceremonies, set priorities, unblock engineers, enforce quality standards, drive AI-first tooling adoption, manage 4–5 engineers, engage client stakeholders, and coordinate cross-team delivery and release readiness.

Technical lead for a scrum team building reporting/BI capabilities for the CEM platform. Hands-on work in SQL/Oracle and BI tooling, sprint leadership, query performance tuning, AI-first tooling adoption, people management for 4–5 engineers, client-facing requirements gathering, and cross-team collaboration to ensure high-quality, performant reporting solutions.

Founding technical role to design, build, and deploy internal AI tools and agents using LLMs and retrieval systems. Partner with investors and the data team to accelerate sourcing, diligence, portfolio insights, and define CRV's AI strategy through rapid prototyping and production-grade systems.

Lead and develop a remote team of Python engineers, ensuring their growth and satisfaction while driving high-quality software delivery.

Lead live sessions, office hours, and project reviews for senior engineers transitioning into system architecture. Provide detailed architecture critiques, mentor students one-on-one, run architecture review boards, record instructional videos, conduct mock interviews, and coordinate supporting instructors to ensure high technical standards and student readiness for architecture roles.

Lead and mentor an engineering team to deliver high-quality web and mobile products. Own performance management, strategic planning, backlog prioritization, cross-functional collaboration with Product and Design, technical excellence, and conflict resolution. Drive continuous improvement in architecture, code quality, and team processes.

Wayvia is building a talent pipeline for engineering roles focusing on backend systems, data pipelines, and product engineering. They seek curious and collaborative engineers to connect with and solve future challenges.

The Support Engineering Manager oversees a support team providing technical solutions for Ubuntu products, ensuring customer satisfaction and team development.

As a Software Engineer, you will resolve complex customer issues related to Ubuntu and open source software, participate in upstream communities, and develop and review code across multiple layers of the software stack.

Lead and scale Boulevard's data platform engineering organization to build reliable, secure, and performant data pipelines, governance, ML/AI infrastructure, and customer-facing data products. Partner with Product and Insights to deliver reporting and analytics, enforce data quality and HIPAA-compliant security standards, and drive strategic roadmap and operational excellence.

Lead technical reliability work across platform and product teams: design guardrails, build incident mitigation tooling, run load testing, translate findings into platform-wide reliability improvements, and influence engineering standards and practices.