Staff Software Engineer, Cloud Platform

Posted 17 Days Ago
Be an Early Applicant
Redwood City, CA
Mid level
Artificial Intelligence • Machine Learning • Database
The Role
The Staff Software Engineer will develop distributed database systems, design core architecture code, optimize performance of cloud-native systems, and manage the Milvus open-source community. They will also address technical issues throughout the product development process.
Summary Generated by Built In

About Zilliz

Zilliz 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:

  • 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

What we are looking for:

  • 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)

Benefits:

  • 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

Compensation Range

$160,000$230,000 USD

Zilliz is committed to building an inclusive and diverse workforce. We are an Equal Opportunity Employer and welcome people from all backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment regardless of race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, or length of time spent unemployed.

Top Skills

Kubernetes,Docker,Aws,Gcp,Azure
The Company
HQ: San Francisco, CA
75 Employees
On-site Workplace
Year Founded: 2017

What We Do

Zilliz is a leading vector database company for production-ready AI. Built by the engineers who created Milvus, the world's most popular open-source vector database, Zilliz is on a mission to unleash data insights with AI. The company builds next-generation database technologies to help organizations rapidly create AI/ML applications, and unlock the potential of unstructured data. By taking the burden of complex data infrastructure management off of its users, Zilliz is committed to bringing the power of AI to every corporation, every organization, and every individual.

Headquartered in San Francisco, Zilliz is backed by a number of prestigious investors, including Aramco's Prosperity7 Ventures, Temasek's Pavilion Capital, Hillhouse Capital, 5Y Capital, Yunqi Partners, Trustbridge Partners and others. Zilliz's technologies and products help over 1000 organizations worldwide easily create AI applications in various scenarios, including computer vision, image retrieval, video analysis, NLP, recommendation engines, targeted ads, customized search, smart chatbots, fraud detection, network security, new drug discovery, and much more. Learn more at zilliz.com or follow @zilliz_universe.

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