Vector database for enterprise-grade AI
database • artificialintelligence • datascience • unstructureddata • machinlearning
April 21
🏢 In-office - Bay Area
Vector database for enterprise-grade AI
database • artificialintelligence • datascience • unstructureddata • machinlearning
• 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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