Top Tech Jobs & Startup Jobs in Montreal

Develop and maintain modern microservices using C#, ASP.NET, and NoSQL databases. Involve in CI/CD processes and contribute to full-stack development within a collaborative team.

Design, develop, test, deploy and maintain cloud-based features for a vehicle-centric investigation platform. Build web apps, APIs and back-end services on Microsoft Azure, collaborate with cross-functional teams, troubleshoot production incidents, and improve DevOps, observability and distributed data processing systems.

Owner of product and portfolio narratives: develop messaging, value propositions, and competitive positioning. Create sales and partner enablement, train stakeholders, drive JTBD adoption, translate complex technology into customer-focused stories, produce battlecards, represent Genetec at events, and collaborate with partners to ensure consistent market positioning.

Develop and maintain web application features using C#/ASP.NET Core and TypeScript/Angular. Diagnose and fix bugs, resolve production issues, write automated tests, improve architecture, performance and maintainability, and collaborate with QA and UX teams. Participate in continuous improvement of team practices and complete a foundational programming course during the first year.

Develop and maintain an embedded operating system and management services for Intel and ARM platforms. Build and customize Yocto-based Linux distributions, write system daemons (primarily in Rust), improve build and release infrastructure, work on device provisioning/update processes, validate new technologies, and collaborate with teammates on hardware integration and debugging.

The role involves developing and supporting cloud storage systems, ensuring high availability, creating scalable services, and collaborating with teams. Responsibilities also include monitoring and deploying software in cloud environments, while using Agile methodologies.

Build, validate and deploy predictive and statistical models using machine learning and statistics. Prepare features and scalable data pipelines on Azure, analyze large datasets, create Power BI dashboards, collaborate with stakeholders and data engineers, monitor model performance, and promote data and model governance across the organization.