Top Engineering Jobs in Toronto, ON

Build and scale production-grade GenAI services, including MCP Server, MCP Gateway, and AI Agent systems. Responsibilities include end-to-end feature ownership, architecture, implementation, deployment, monitoring, debugging, testing, documentation, and collaboration with product and design teams. The role emphasizes scalable and reliable software, AI-assisted development, security, guardrails, PII filtering, and continuous engineering improvement.

Lead North American software engineering teams supporting retirement technology products. Responsibilities include hiring and developing engineers, establishing architecture and engineering standards, improving software delivery and operations, guiding AI-native engineering practices, and executing initiatives across multiple applications and teams. The role partners with Product Management on roadmaps, manages dependencies, removes blockers, and promotes quality, security, compliance, accessibility, ownership, and continuous improvement.

Build and maintain Python-based, cloud-native data pipelines and file delivery systems on AWS. Design scalable delivery for CSV/Parquet/JSON via S3, SFTP, and data marketplaces. Implement data quality, monitoring, CI/CD, and migrate legacy feeds to cloud architecture. Contribute to web-based monitoring/configuration, documentation, reviews, and production support.

Build and maintain full-stack web applications using Vue.js/Nuxt 3, TypeScript, Node.js, and AWS. Implement SSR, reusable components, Node APIs and integrations with headless CMS and third-party platforms. Contribute to AI-enabled marketing workflows, performance, accessibility, SEO, testing, monitoring, and troubleshoot across browsers, APIs, CMS, and cloud infrastructure. Participate in code reviews, documentation, and cross-functional planning.