Resale marketplace for pre-owned luxury fashion with AI authentication
Vestiaire Collective runs a global resale marketplace for second-hand luxury fashion, built on a multi-cloud AWS and GCP stack with Kubernetes, Kafka and a PHP/Go/Node.js backend. Job posts show a push to build MLOps from the ground up for fraud detection, search ranking and computer-vision authentication, while ArgoCD, Kyverno and OPA adoption points to GitOps and policy-as-code hardening of its EKS platform.
Vestiaire Collective operates an online platform where members buy and sell pre-owned luxury fashion items. Founded in 2009 and headquartered in Paris, the company sells across 70 countries and has offices in New York, London, Berlin, Singapore, Ho Chi Minh City and Lisbon. It runs authentication centers in France, the UK, the US and Hong Kong to verify items before they reach buyers. The privately held company employs between 501 and 1,000 people and currently hires in France, Germany and Vietnam.
Vestiaire Collective runs on AWS and GCP with Kubernetes (EKS), Kafka (MSK), Terraform and Datadog, a PHP, Go and Node.js backend, a Next.js/React/TypeScript frontend, and Spark plus Airflow for data.
It operates authentication centers in France, the UK, the US and Hong Kong, and job posts describe deploying multi-model computer vision to support AI-driven authentication.
Vestiaire Collective is hiring in France, Germany and Vietnam, with engineering the largest function alongside finance, product, marketing, operations and support roles.
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Vestiaire Collective's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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