Zilliz offers a fully managed Vector Lakebase powered by Milvus, unifying real-time vector search, lake-scale discovery, and AI data operations. Available across AWS, Google Cloud, and Azure regions worldwide. Backed by AI Grant.
About the role
We're entering our next phase of 10x growth; more customers, larger datasets, and far higher expectations for reliability. You'll join a small, fast-moving Cloud Platform team that operates large-scale, multi-cloud, distributed database systems in production. This is a high-ownership role for engineers who want to move fast, build automation instead of toil, and take real responsibility for production stability.
What they're looking for
- 3+ years building or operating production cloud systems, infrastructure platforms, database systems, or large-scale online services
- Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience
- Strong hands-on experience with Kubernetes, Docker, and at least one major cloud platform (AWS, GCP, or Azure)
- Solid understanding of distributed systems, availability, scalability, performance, failure recovery, and operational tradeoffs
- Experience with distributed databases, storage systems, search systems, or large-scale online systems is a strong plus
- Experience operating highly multi-tenant systems or large infrastructure fleets, thousands of nodes, clusters, tenants, or customer deployments is especially valuable
More about this role
Zilliz is a fast-growing startup developing the industry’s leading vector database for enterprise-grade AI. Founded by the engineers behind Milvus, the world’s most popular open-source vector database, the company builds next-generation database technologies to help organizations quickly create AI applications. On a mission to democratize AI, Zilliz is committed to simplifying data management for AI applications and making vector databases accessible to every organization.
We're entering our next phase of 10x growth; more customers, larger datasets, and far higher expectations for reliability. You'll join a small, fast-moving Cloud Platform team that operates large-scale, multi-cloud, distributed database systems in production. This is a high-ownership role for engineers who want to move fast, build automation instead of toil, and take real responsibility for production stability.
- Own the reliability, availability, and production stability of Zilliz Cloud as we scale through the next stage of growth
- Debug complex production issues across Kubernetes, cloud infrastructure, networking, storage, and distributed database systems
- Build automation and diagnostic tooling; log...
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