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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.
Job Responsibility:
Work at the intersection of development and site reliability. Creating SRE tools and systems, as well as supporting existing infrastructure and platforms
Ensure the reliability, availability, and performance of Zilliz’s distributed database systems
Develop and implement strategies for monitoring, incident management, and disaster recovery
Automate system operations and maintenance tasks to improve efficiency and reduce manual intervention
Design and build tools to manage and monitor infrastructure, ensuring scalability and robustness
Collaborate with software engineers to enhance system reliability, scalability, and performance
Maintain and improve the CI/CD pipeline to ensure smooth and rapid deployment of changes
Actively contribute to the Milvus Vector Database open-source community, focusing on improving reliability and operational efficiency
Requirements:
4+ years of experience in site reliability engineering or similar roles with a focus on cloud-native systems
Proficiency in scripting languages such as Python, Go, or Java
Strong knowledge of container orchestration technologies like Kubernetes and Docker
Expertise with cloud platforms such as AWS, GCP, or Azure, and their respective monitoring and management tools
Experience with infrastructure as code tools such as Terraform or Ansible
Familiarity with CI/CD tools such as Jenkins, GitLab CI, or Argo
Proven ability to troubleshoot complex distributed systems and resolve issues promptly
Bachelor’s degree or above in computer science, software engineering, or other relevant disciplines
Ability to thrive in a fast-paced, startup environment and handle multiple projects simultaneously
Nice to have:
Experience with Open Source Milvus Vector Database
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