Jobs 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.

Leads the vision, strategy, roadmap, and growth of Maropost’s Commerce Cloud platform. Oversees storefront, checkout, catalog, order management, AI, and personalization initiatives while managing Product Managers and Product Owners. Partners with Engineering and cross-functional executives to deliver measurable customer and business outcomes, including adoption, retention, activation, and GMV growth. Requires extensive product leadership experience in commerce, ecommerce infrastructure, retail technology, or B2B SaaS, plus experience building AI-powered product capabilities and scaling product teams.

Build scalable, high-performance backend systems using primarily Golang and Python. Own features end to end, contribute to distributed microservices architecture and system design, develop event-driven components for high-volume messaging and e-commerce workloads, conduct code reviews, troubleshoot production issues, support CI/CD deployments, and document technical specifications and APIs.

Develop and architect scalable full-stack web applications, primarily backend microservices using Node.js and TypeScript. Design APIs, integrate platforms and ML/NLP engines, contribute to frontend Vue.js components and React SDKs, review code and specifications, test software, and support architecture governance, technical leadership, and Agile delivery.

Architect and guide large-scale cloud-native distributed systems and microservices across engineering teams. Define technical roadmaps, establish engineering standards, evaluate technologies, and make architecture trade-offs involving scalability, resilience, cost, latency, and security. Remain hands-on by writing performant code, reviewing architecture and code, leading debugging and optimization efforts, and resolving production incidents. Drive API, event-driven, messaging, observability, and DevOps strategies.

Design, build, and maintain scalable backend applications and REST APIs using Ruby on Rails. Contribute to cloud-native architecture, big data/analytics prototypes, and system performance optimization. Provide technical leadership, conduct code/design reviews, integrate ML/NLP engines, and manage DevOps (CI/CD, monitoring, Kubernetes) and DBMS (PostgreSQL/MySQL) for production-scale deployments.

Build and maintain backend applications in Scala, including refactoring, architecture and API design, SQL schema modeling, message-based systems, testing, code reviews, and CI/CD. Collaborate cross-functionally on technical specifications, infrastructure, process improvements, and continuous learning. The role uses Apache Pulsar, Kubernetes, CircleCI, and ArgoCD, with emphasis on reliable, readable code and backend application development rather than data engineering.

Serve as a force multiplier for the C-suite by driving strategic initiatives, managing leadership cadence, project delivery, Jira-based operational metrics, executive communications, stakeholder engagement, and cross-functional change management to increase organizational efficiency and C-suite bandwidth.

Design, build, and operate scalable data engineering services and ingestion pipelines (CDC/streaming). Develop and optimize a centralized analytics warehouse, data models, and aggregation strategies. Build APIs, enforce multi-tenant security and data governance, monitor pipeline health, improve automation and observability, and ensure production reliability through strong engineering practices.