Top Tech Jobs & Startup Jobs in Montreal

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 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.

Build and operate a cloud data platform on Databricks and AWS: provision infrastructure with Terraform, manage Helm/Kubernetes and Docker-based deployments, implement CI/CD and artifact pipelines, and design Databricks jobs and Spark Structured Streaming pipelines for ETL/CDC across Bronze/Silver/Gold layers while tuning for cost and performance and collaborating in Agile teams.

Lead WMS/ERP implementations by defining customer requirements, configuring Tecsys solutions, driving data loading, testing, training, and onsite customer engagement to ensure successful supply chain deployments.

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.

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

Responsable de la direction et du développement de l'offre Tecsys IQ Data & AI, supervisant une équipe de livraison, garantissant la qualité des livrables, standardisant les méthodes, pilotant la stratégie services IA/données, et collaborant étroitement avec clients, ventes et produit pour maximiser la valeur des données et l'adoption de solutions IA.

The Infrastructure Reliability Engineer will maintain and optimize AWS and Kubernetes systems, ensuring availability and performance through automation and observability, as part of an interdisciplinary team.