Top Tech Jobs & Startup Jobs in Montreal

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.

Assist in updating product documentation for the company WMS using the Oxygen tool suite and DITA standards. Create web help and standalone documents, learn new technologies, and collaborate with teams to produce clear technical content. Produce work guided by structured authoring principles.

Stage de 4 mois pour un stagiaire en rédaction technique; mettre à jour la documentation du WMS en utilisant Oxygen et DITA, créer l'aide en ligne et documents complémentaires, apprendre de nouvelles technologies et collaborer avec équipes internes et clients.

The specialist in governance, risk, and compliance will define security practices, implement risk management frameworks, collaborate on compliance, and enhance security maturity at Tecsys.

Join Tecsys Professional Services to lead data collection and configure supply-chain software, define client business processes, support on-site client integration, and develop application, consulting, and BI analysis skills while traveling across North America.

Own strategy and delivery for data and customer-facing AI platforms. Define roadmaps, manage ingestion/streaming/integration/analytics capabilities, ensure data quality/governance/observability, partner with engineering, deliver AI-driven experiences, manage backlogs in Agile, measure adoption, and support go-to-market planning.