Senior Software Engineer, Cloud Reliability

About the role

About Zilliz

Zilliz is building the next generation of data infrastructure for AI. Founded in 2017 by the creators of Milvus, one of the world's most popular open-source vector databases, we help developers and enterprises build, deploy, and scale AI-powered applications, from semantic search and RAG to emerging agentic AI workloads.

Backed by $113 million in funding from leading global investors, Zilliz has established a strong presence in the AI infrastructure market. Milvus has earned over 46,000 GitHub stars, and our technology has reached more than 10,000 enterprise users worldwide. Companies including OpenEvidence, Exa, and Filevine rely on Zilliz Cloud to power their AI applications.

Building on our roots in vector database technology, we're expanding Zilliz Cloud into a broader AI data platform with Zilliz Vector Lakebase. As AI continues to reshape how applications are built and how data is used, we're focused on making the underlying infrastructure more powerful, scalable, and accessible to organizations worldwide.

About the Role

We're looking for a Senior Software Engineer focused on Cloud Reliability to help scale the infrastructure behind Zilliz Cloud.

As our customer base, data volumes, and production workloads grow, we're tackling increasingly complex reliability challenges across distributed database systems, Kubernetes, and multi-cloud infrastructure.

You'll join our Cloud Platform team and work closely with database and infrastructure engineers to keep our systems reliable, performant, and efficient. The role combines hands-on production ownership with software engineering, from responding to critical incidents and diagnosing complex failures to building the tools and automation that prevent problems from recurring.

We're looking for someone who enjoys working deep in production systems, takes ownership of difficult engineering problems, and wants to have a direct impact on the reliability of a growing cloud data platform.

What you will do: - Own production reliability. Take responsibility for the availability, stability, and operational health of Zilliz Cloud, identifying reliability risks and driving improvements as our infrastructure and customer workloads scale.

- Participate in on-call and incident response. Take part in production on-call rotations, respond to critical incidents, investigate service disruptions, coordinate with engineering teams, and drive timely mitigation and recovery to minimize customer impact.

- Troubleshoot complex distributed systems. Diagnose production issues across Kubernetes, cloud infrastructure, networking, storage, and distributed database systems. Investigate problems across multiple layers of the stack and identify their underlying causes.

- Drive root cause analysis and incident prevention. Lead or contribute to post-incident investigations, document findings, and turn recurring failures into actionable engineering improvements, whether through code changes, better tooling, operational procedures, or improvements to the underlying platform.