Enterprise vector database platform built on Milvus open source
Zilliz commercializes Milvus, an open-source vector database, for AI workloads at scale. The company's tech stack spans distributed storage (CockroachDB, Spanner, Aurora), stream processing (Kafka, Flink, Spark), and orchestration (Kubernetes, Ray), revealing an infrastructure-heavy architecture designed to handle unstructured data pipelines. Sales-led hiring (8 of 13 active roles) paired with projects around SRE tooling and reliability engineering suggests a shift from product-market fit toward enterprise operational maturity.
Zilliz builds an enterprise vector database for organizations building AI applications that require similarity search and unstructured data management. The company was founded in 2017 by the original Milvus open-source creators and operates a 51–200 person team based in Redwood City with hiring activity across the US, UK, Japan, and Australia. The product sits atop a mature infrastructure layer—PostgreSQL, CockroachDB, Spanner, Kafka, Spark—designed for distributed, multi-tenant deployments. Current work centers on reliability hardening (downtime reduction, manual intervention elimination), architecture scalability, and pre-sales technical engagement.
Zilliz uses PostgreSQL, CockroachDB, Spanner, Snowflake, BigQuery, Kafka, Spark, Flink, Kubernetes, and Ray. This combination supports distributed database operations, stream processing, and AI-scale orchestration.
Yes. Zilliz has 3 active engineering roles open (as of latest snapshot), with 10 of 13 total roles at senior level. Hiring is currently decelerating.
Zilliz is headquartered in Redwood City, CA. The company actively hires in the United States, United Kingdom, Japan, and Australia.
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