Qdrant builds an open-source, Rust-based vector search engine deployed across AWS, GCP and Azure on Kubernetes and Terraform. Its replacing list (Elasticsearch, Solr, OpenSearch, Pinecone, Weaviate) maps the incumbents it displaces in customer stacks. Hiring is accelerating with a mix spanning engineering, sales, support and security, alongside projects like an enterprise pipeline and gRPC migration, pointing to a shift from developer adoption toward enterprise sales and production reliability.
Qdrant is a Berlin-headquartered, privately held company founded in 2021 that develops a vector similarity search engine. The engine runs as an API service that finds nearest high-dimensional vectors, letting teams turn embeddings into search, matching and recommendation applications. The core is written in Rust, with the product available as open source and as a managed offering across major clouds. The company employs 51–200 people and hires internationally, including in France, the United States, Brazil, Singapore, Australia and Japan.
Qdrant's stack includes Rust, Go, Python, TypeScript and React, running on Kubernetes across AWS, GCP and Azure, with Terraform, Kafka, Prometheus, Grafana and OpenTelemetry, plus Salesforce and n8n for go-to-market.
Yes, hiring is accelerating, led by engineering with sales, support, design and security also growing, and a tilt toward senior-level roles.
Qdrant hires in France, the United States, Peru, Brazil, Costa Rica, Singapore, Australia and Japan, while headquartered in Berlin, Germany.
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Qdrant'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 →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.