Top Engineering Jobs in Toronto

Lead and grow a distributed software engineering team to design, ship, and support web-based features. Balance new feature delivery, technical debt, and system improvements; perform hands-on code review and triage; collaborate cross-functionally with product, design, and support; hire, coach, and mentor engineers; and establish processes for iterative, high-quality delivery that meet customer needs and SLAs.

Lead the Pro team to design, develop, and deliver frontend systems for Kraken's trading interface, focusing on user experience and mentoring engineers.

Lead and grow a Detection engineering team building tools, applications, and infrastructure for fraud and abuse detection. Collaborate with engineers, scientists, and stakeholders to design, implement, and review scalable systems and features, mentor engineers, and contribute to code and architecture to improve detection capabilities.

Lead and grow a services engineering team owning backend systems, APIs, integrations, and operational reliability. Partner with product and operations to define customer-focused outcomes, drive technical direction across Python/Go/Ruby services, improve execution standards, remove blockers, and develop engineers. Measure success by customer value, system health, and team performance.

The Sr Platform Engineer will develop and enhance platform services, ensuring reliability and security in healthcare applications while leading technical standards and fostering developer enablement.

As a Machine Learning Engineering Intern at Cresta, you'll design, develop, and deploy AI Agent solutions, collaborating across teams to implement cutting-edge AI technologies in practical applications.

Lead design and delivery of cloud-native AI applications (agentic AI, RAG, LLM integration). Build and optimize RAG pipelines, vector DBs, and multi-agent orchestration. Implement MLOps/LLMOps, CI/CD, security and governance, model evaluation and optimization. Provide technical leadership, mentor teams, translate business needs into AI solutions, and ensure alignment with risk and regulatory frameworks.

Lead technical strategy and modernization for enterprise compute and virtualization platforms. Define architectures, standards, run POCs, drive IaC/automation adoption, collaborate with cloud/security/architecture teams, present to executives, mentor engineering teams, and ensure scalability, resiliency and operational excellence across x86 and virtualization environments.

Lead a 8–15 engineer product squad as a servant leader: hire and grow engineers, own team budget and headcount, drive predictable high-quality delivery, embed AI practices, shape processes and outcomes, ensure engineering excellence (testing, validation, developer experience), and partner across Product and Delivery. Act as a peer in the engineering-management leadership team.

Lead lean transformation for vehicle reconditioning: measure and analyze production performance, design and improve processes/layouts using CAD, run time-and-motion studies, set staffing models, manage production projects end-to-end, and drive continuous improvement with Lean tools to improve throughput, quality, cost, and safety.

Lead a Product Engineering squad (8–15 engineers), prioritize people development, hiring, process, and predictable delivery. Drive AI-native practices, technical credibility, customer-focused outcomes, testing/validation, and cross-functional partnerships while owning team budget and headcount.

Lead a small Quality Engineering team to enable product teams to own quality via agentic tooling, testing practices, CI/CD, metrics, dashboards, and coaching. Build reusable agentic workflows, define quality maturity and KPIs, create training and playbooks, and partner with engineering leadership to scale quality practices and tooling across AutoSync.

Design and implement offloading and SYCL infrastructure for Intel compilers. Develop binary formats, device code generation, and offloading models. Collaborate with LLVM/SYCL communities and internal compiler, runtime, and platform teams to deliver production-ready heterogeneous compute solutions for CPUs, GPUs, and accelerators.

Lead vision, architecture, and execution for Arctic Wolf's Endpoint Platform. Oversee 150+ global engineers to build cloud-native, scalable endpoint protection (EDR/XDR), embed AI/ML, improve telemetry processing, and establish DevSecOps, CI/CD, observability, and secure SDLC practices. Partner across Product, AI, Cloud, and Threat Research and recruit and develop engineering leadership to increase velocity, quality, and platform resiliency.

Lead and grow two Merchants engineering teams (Core and Growth). Own technical direction, architecture (billing, checkout, delivery promise), hiring, roadmap, sprint health, and cross-functional partnerships to deliver reliable merchant-facing product features.

Architect, build, and maintain test automation frameworks and tooling for web backend services; drive adoption of AI-driven, self-healing testing ecosystems; mentor SDETs; prototype agentic tooling; collaborate with infra and product teams to improve testability, reliability, and delivery velocity.

Lead architecture and delivery of scalable AI systems for P&C insurance, oversee fraud prevention platform from data to production, mentor AI engineers, collaborate with business stakeholders, prototype novel AI techniques (LLMs, GNNs, CV), and drive cloud deployments and responsible AI practices.

Design, automate, and maintain cloud performance testing frameworks and observability across multi-cloud platforms. Optimize scalability, autoscaling, Kafka throughput, and resource utilization. Integrate performance tests into CI/CD, maintain cost attribution, support incident response/on-call, and ensure compliance (SOC2/HIPAA/ISO27001) while enabling secure, scalable infrastructure for SaaS delivery.

Build and maintain scalable, data-intensive financial systems: develop Scio data pipelines on GCP, Java backend services, and data models; integrate external financial systems; improve observability, resilience, and CI/CD; collaborate with Finance, Product, and Engineering to translate accounting requirements into reliable technical solutions.

The role involves owning and shipping a significant product surface at Motion, leveraging AI in engineering workflows, and raising team quality by example.

Lead the engineering team at Beast Industries to develop an AI-first membership ecosystem, driving product development and organization building from scratch.

Lead the architecture and development of enterprise software tools, focusing on secure cloud systems, Node.js applications, and AI integrations while ensuring quality and reliability.

Manage a team of engineers building Docker's runtime for AI workloads, oversee technical direction, and ensure operational excellence in cross-platform environments.

Lead development of an internal AI deployment platform and build agentic workflows across Marketing, Sales, Support, Finance, and Operations. Manage a cross-functional team of engineers, product managers, and embedded business users, partner with functional leaders, measure business impact, and ensure secure, compliant AI adoption.

The role involves designing and optimizing biomolecules for brain-computer interfaces by utilizing protein engineering strategies, collaborating with computational teams, and developing novel screening methods.