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, more complex AI workloads, and higher expectations for reliability, performance, and cost efficiency. You'll join a small, fast-moving Cloud Platform team building the core platform capabilities that run Zilliz Cloud at scale across multi-cloud environments.
What they're looking for
- 3+ years of experience building production systems such as large-scale SaaS platforms, data platforms, AI applications, microservices, or cloud infrastructure
- 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 such as AWS, GCP, or Azure
- Familiarity with infrastructure automation and cloud operations tooling such as Terraform, Helm, Argo CD, Prometheus, Grafana, CI/CD systems, or similar tools
- Experience building cloud-native platform systems is a strong plus, including scheduling, orchestration, deployment, configuration, upgrades, lifecycle management, or resource management
- Understanding of distributed databases or database engine internals is a strong plus, especially around scalability, performance, reliability, and multi-tenant isolation
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, more complex AI workloads, and higher expectations for reliability, performance, and cost efficiency. You'll join a small, fast-moving Cloud Platform team building the core platform capabilities that run Zilliz Cloud at scale across multi-cloud environments.
This is not a standard control-plane platform role. You will work across both the cloud platform and database runtime, building cloud-and-engine integrated systems around Vector Lakebase so AI workloads can be scheduled faster, run more reliably, and serve real customers more efficiently.
- Design and build the cloud platform behind Zilliz Cloud and Vector Lakebase, bringing...
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