Top Tech Jobs & Startup Jobs in Montreal

Design, build, and operate large-scale real-time and batch data pipelines. Improve data quality, reliability, observability, and performance. Partner with product and analytics teams, lead architecture decisions, and support production incidents and optimization.

Lead and develop engineering teams building enterprise SaaS products and platform services. Drive technical execution, architecture reviews, CI/CD, automated testing, observability, security, production operations, incident response, and mentor engineers while partnering with Product and Architecture to deliver scalable, reliable software.

Provide technical leadership and architecture direction for enterprise SaaS platforms and distributed systems. Lead cross-team initiatives, drive scalability, reliability, security, observability, and platform modernization. Influence technical strategy, run architecture and design reviews, reduce technical debt, and mentor senior engineering staff.

Lead multiple engineering teams delivering enterprise SaaS products and platform capabilities. Set engineering strategy, drive organizational planning, improve delivery processes and metrics, ensure secure and scalable cloud/hybrid systems, partner with Product, Architecture, Security, and Exec teams, and oversee hiring, succession, and performance improvements.

Lead the design and delivery of SaaS products powered by data, ML, and AI, collaborating across backend, systems, and cloud infrastructure. Drive architecture evolution, ensure operability and performance, and mentor engineering teams.

The Senior Staff Applied ML Engineer will lead ML modeling and data analysis, mentor teams, and integrate AI-driven features and workflows across multiple products.