Zilliz
Senior Software Engineer, Cloud Reliability
Remote - United States
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hirly's read of this role
- Role family
- Engineering
- Seniority
- Senior
- Stated salary
- $150,000 – $240,000 per year
- Country
- US
- Work mode
- On-site / unstated
- First seen by hirly
- 1 Sept 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
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.
Listed on hirly, a job board. hirly is not the employer: Zilliz is hiring for this role.
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