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Join TecsysIQ Data & AI to build and operate a cloud data platform on Databricks and AWS. You will provision infrastructure with Terraform, manage Kubernetes/Helm and Docker, implement CI/CD, develop Databricks and Spark (batch and streaming/CDC) pipelines across Bronze/Silver/Gold layers, optimize clusters and SQL warehouses, and collaborate in Agile teams to deliver reliable, scalable data products.

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 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 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 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.

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.