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
任职要求
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
