Top Tech Jobs & Startup Jobs in Montreal

Lead design, development, and rollout of supplier integrations and data pipelines using Node.js/TypeScript. Ingest, normalize, and store data from APIs, SFTP and other feeds; implement deep-linking, booking and commission integration; ensure security, scalability, observability and CI/CD; collaborate with product, infrastructure and data squads; mentor junior developers and promote maintainable code.

The Head of Engineering will lead a growing engineering organization, shape technical vision and strategy, manage teams, and drive collaboration across squads while maintaining technical credibility and high standards.

Generate qualified meetings and pipeline for SMB to mid-market sales by building targeted prospect lists, running multi-channel outbound sequences, qualifying leads, handing off to AEs, supporting event outreach, and iterating messaging via A/B tests to improve reply and meeting rates.

Own end-to-end recruitment for technical and non-technical roles: source hard-to-fill candidates, partner with hiring managers, manage processes, use data to improve hiring, support employer branding and adopt recruiting tools.

Design and build scalable backend systems and APIs powering AI/ML infrastructure (ML pipelines, model hosting, LLM gateways, real-time inference). Integrate models into production, deploy on GCP with containerization, implement CI/CD, monitoring and developer tools, and collaborate with ML, Data, and Platform teams to ensure reliability, performance and maintainability.

Lead strategy and roadmap for a centralized API platform and MCP server. Transform internal systems into reliable, monetizable API products, define API standards, enable AI agent integrations, measure platform health and adoption, and translate technical tradeoffs to stakeholders.

Lead end-to-end design and implementation of full-stack features using Node.js/Python backend and React/TypeScript frontend. Architect and optimize PostgreSQL and MongoDB schemas, drive technical decisions and ADRs, champion testing and CI/CD, mentor engineers, and collaborate with product, platform and data teams to deliver scalable, maintainable solutions.

As a Senior ML/DL Developer, you will design and architect intelligence for ML platforms, manage the ML lifecycle, and mentor teams in AI best practices.