- Develop distributed database systems using Zilliz's innovative data science platforms
- Create request plans, develop new systems, and perform prototype verification and testing
- Design and write core architecture code. Provide creative solutions to technical issues that arise during the product development process
- Take ownership of product performance and stability
- Research emerging technology to optimize the performance of underlying distributed platforms
- Manage the Milvus open-source community and broaden Zilliz's reach worldwide
- 4+ years of experience in developing cloud native systems
- Proficient in container orchestration technologies i.e. Kubernetes, Docker, Apache
- Proficient with one of the following cloud platforms AWS/GCP/Azure
- Active contributor to one or more PAAS platforms software such as, Snowflake, Databricks, Confluent, Google BigQuery, Spanner, Redshift, Aurora, Cosmos DB, Redis, MongoDB, ElasticCloud, CockroachDB, Yugabyte, Hashicorp, etc.
- Bachelor's degree or above in computer science, software engineering, or other relevant disciplines
- Willing to adapt to a fast-changing environment (i.e. the different stages of a startup company)
- Competitive compensation (cash + equity)
- Regular bonus and equity refresh opportunities
- Medical, dental, and vision insurance
- Paid time off, including vacation, sick leave, and global reset/wellbeing days
- Generous 401(k) and regional retirement plans
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Staff Software Engineer, Cloud Platform - Redwood City, United States - Zilliz
Description
About ZillizZilliz is a fast-growing startup developing the industry's leading vector database company for enterprise-grade AI. Founded by the engineers behind Milvus, the world's most popular open-source vector database, the company builds next-generation database technologies to help organizations quickly create AI applications. On a mission to democratize AI, Zilliz is committed to simplifying data management for AI applications and making vector databases accessible to every organization.
What you will do: