Managed vector database cloud built on open-source Milvus for AI workloads
Zilliz develops Milvus and runs a managed vector database cloud across AWS, GCP and Azure, operated with Kubernetes, Terraform, Helm and Argo CD. Job posts point to a new vector lakebase offering, and the stack's coverage of Iceberg, Delta Lake, Hudi, Spark and Flink suggests deep integration with lakehouse data. Accelerating, sales-led hiring across the US, South Korea and Japan, with only senior roles, indicates a push into enterprise go-to-market.
Zilliz is a privately held vector database company founded in 2017 and headquartered in Redwood City, California. It was started by the engineers who created Milvus, an open-source vector database used for similarity search over unstructured data. The company offers Zilliz Cloud, a managed service for organizations building AI applications, and is developing vector lakebase capabilities. Core systems are written in C++, Rust and Go. The company has 51–200 employees and recruits in the United States, South Korea and Japan.
Zilliz builds on Milvus with C++, Rust and Go, runs on AWS, GCP and Azure, and uses Kubernetes, Terraform, Helm, Argo CD, Prometheus and Grafana for operations.
Yes. Hiring is accelerating and centers on sales, with additional engineering and HR roles. All openings are senior-level, located in the United States, South Korea and Japan.
Zilliz is building the cloud platform behind Zilliz Cloud and vector lakebase. Related work covers automated provisioning and scaling, high-performance vector indexing, benchmarking frameworks and retrieval optimization.
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Zilliz'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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