Details.
Design, optimize, and operate the pipelines that power Alfred's AI models and real-time dashboards. Responsibilities include designing ETL and ELT pipelines, maintaining AWS infrastructure with Terraform, working with Kafka and Kinesis event streams, preparing datasets for AI and machine learning, implementing observability and reliability practices with Datadog, automating deployments through GitLab CI/CD and GitOps, and ensuring data governance, security, and privacy compliance. The role requires production pipeline ownership, Python or Java or Scala expertise, advanced SQL, AWS experience, DevOps skills with Terraform, Docker, Kubernetes, and GitLab CI/CD, PostgreSQL and MongoDB knowledge, and French proficiency. Experience with event-driven architectures, real-time analytics, AI and machine learning platforms, or sports and large-venue operations is a plus. Alfred offers high-impact projects for major international events, a collaborative production-first environment, hybrid work with two days per week in the Saint-Roch office in Quebec City, competitive salary, comprehensive benefits, and professional growth opportunities.