Top Tech Jobs & Startup Jobs in Montreal

The Associate Application Specialist will support the implementation of supply chain software solutions, collaborating with customers and the project team to meet their needs.

The Software Development Manager oversees teams developing SaaS solutions, ensures project goals are met, and leads agile practices while fostering team motivation and skills development.

The Event Manager will plan and implement various events to support marketing and business objectives while ensuring high-quality experiences for participants.

The Events Manager will plan and execute events, develop strategies, manage budgets, and collaborate with teams to enhance customer engagement and brand visibility.

The Site Reliability Engineer ensures system reliability and performance in cloud environments, focusing on automation and incident management. Responsibilities include collaborating with engineering teams, maintaining services, enhancing observability, and leading incident responses.

The Software Development Manager will lead and mentor development teams in creating SaaS solutions, establish project timelines, foster team motivation, and adopt AI-assisted tools to improve engineering practices.

The role involves leading AI and ML initiatives, developing predictive models, creating AI solutions for supply chain challenges, and communicating technical concepts across teams.

The Senior Developer will lead AI and ML initiatives, converting business problems into mathematical models, developing predictive models, and designing AI/ML systems for supply chain solutions.

The role involves ensuring the quality and integrity of a cloud-based data platform through automated testing, collaboration with data engineers, and maintaining regression test frameworks. It emphasizes a testing culture and requires experience in data pipelines and transformation validation.

The Software Developer in Test role involves ensuring quality and reliability of a cloud-based data platform, embedding automated testing in the development lifecycle, and collaborating with teams on data pipelines and transformations.