Senior Cloud Reliability Engineer — Automation & Scale

Zilliz; Redwood City (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Zilliz is a fast-growing startup building a leading vector database for enterprise AI. We are expanding our Cloud Platform team to scale Zilliz Cloud with high ownership and automation.

You will own reliability end-to-end, debug complex issues across Kubernetes and cloud infra, and drive tooling that reduces toil while improving performance and scalability. Join a globally distributed team in a fast-paced environment, collaborating with database and infrastructure engineers to deliver reliable,

Qualifications

• 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.
• 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.

Responsibilities

• 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

Skills

Kubernetes

Docker

Cloud platforms

Distributed systems

Observability

Education

Bachelor's degree in Computer Science/Software Engineering or related field

Tools

Terraform

Helm

Argo CD

Prometheus

Grafana

CI/CD

Job description

Zilliz is a fast-growing startup building a leading vector database for enterprise AI. We are expanding our Cloud Platform team to scale Zilliz Cloud with high ownership and automation.

You will own reliability end-to-end, debug complex issues across Kubernetes and cloud infra, and drive tooling that reduces toil while improving performance and scalability. Join a globally distributed team in a fast-paced environment, collaborating with database and infrastructure engineers to deliver reliable,