Senior Software Engineer (Cloud Platform)

Join Zilliz, a leading AI data company, as a Senior Software Engineer (Cloud Platform). In this role, you will design and build the cloud platform behind Zilliz Cloud and Vector Lakebase, focusing on cloud control plane, database runtime, scheduling, resource management, deployment, and lifecycle management. You will work across Kubernetes, multi-cloud infrastructure, networking, storage, and database engine runtimes to deliver a tightly integrated cloud-and-engine product experience. Additionally, you will partner with database, reliability, and product engineers to bring new Vector Lakebase capabilities into cloud production safely and quickly.

• Design and build the cloud platform behind Zilliz Cloud and Vector Lakebase, integrating cloud control plane, database runtime, scheduling, resource management, deployment, and lifecycle management.
• Build cloud-native systems that automate distributed database provisioning, scaling, upgrades, recovery, and workload migration, ensuring they are observable, rollback-safe, and efficient.
• Work across Kubernetes, multi-cloud infrastructure, networking, storage, and database engine runtimes to deliver a tightly integrated cloud-and-engine product experience.
• 3+ years of experience building production systems such as large-scale SaaS platforms, data platforms, AI applications, microservices, or cloud infrastructure
• Strong hands-on experience with Kubernetes, Docker, and at least one major cloud platform such as AWS, GCP, or Azure
• Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience
• Strong interest in AI-assisted development and engineering productivity. We value engineers who actively use AI to multiply their output across coding, debugging, testing, documentation, and operations
• Understanding of distributed databases or database engine internals is a strong plus, especially around scalability, performance, reliability, and multi-tenant isolation
• Experience building cloud-native platform systems is a strong plus, including scheduling, orchestration, deployment, configuration, upgrades, lifecycle management, or resource management
• Familiarity with infrastructure automation and cloud operations tooling such as Terraform, Helm, Argo CD, Prometheus, Grafana, CI/CD systems, or similar tools