Salary
$175k – $225k per year
Location
Hybrid (Redwood City, United States)
Seniority
Senior · 3+ years exp
Visa
H-1B filings in 12 months: 1
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on May 15, 2025. Zilliz scores D on the Alion truth index.
Overview
Company
Impact
Profile match
Zilliz is the company behind Milvus, the open-source vector database, and Zilliz Cloud, a fully managed vector database for building AI and RAG applications.
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 you will do:
- 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 analysis, alert correlation, incident investigation, runbook automation, and remediation workflows so problems get solved once, not repeatedly
- Turn recurring incidents into reusable tools, automation, documentation, and product improvements
- Improve observability across latency, availability, throughput, and resource efficiency
- Partner with database and infrastructure engineers to make Zilliz Cloud more reliable, scalable, and automated
What we are 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
- Familiarity with modern cloud operations tooling such as Terraform, Helm, Argo CD, Prometheus, Grafana, and CI/CD systems
- Strong bias for action, and the drive to thrive in a fast-paced, rapidly scaling environment
How we operate:
- High ownership: You own production reliability end-to-end. The whole system, not a slice of it. High autonomy, high trust, minimal process.
- Fast and focused: We ship often and keep a high bar. This team suits engineers who want velocity and a steep growth curve over red tape.
- Globally distributed: We work closely with our core engineering teams across APAC. Occasional early morning or evening syncs in exchange for an on-call setup designed around timezone coverage, not overnight pages.
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