Teams at Maropost

Own end-to-end machine learning for ecommerce discovery, including recommendation and ranking models, low-latency Python serving, batch pipelines, A/B testing, and production deployments. Operate containerized services on Kubernetes, monitor systems, and extend LLM-powered shopping and catalog applications. The role requires strong recommender systems, search ranking, embeddings, vector databases, streaming, and production ML experience.

Build, scale, and maintain cloud-native SaaS infrastructure on GCP. Manage Kubernetes clusters, Terraform automation, CI/CD pipelines, observability, security, reliability, and performance optimization. Collaborate with development and product teams, support incident response and on-call rotations, promote DevOps practices, and mentor junior engineers. The role requires strong expertise in GCP, Kubernetes, Terraform, scripting, cloud networking, monitoring, and infrastructure automation.

Design, build, and maintain scalable Ruby on Rails backend applications and REST APIs. Develop cloud-native solutions, optimize performance, contribute to architecture and technical decisions, integrate ML and NLP engines, and support DevOps, databases, monitoring, Kubernetes, and cloud scaling. The role also provides technical leadership, drives engineering innovation, governs architecture and design, and conducts code and design reviews.