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Developer Relations Engineer - Remote

Posted 2 weeks ago
DevOps / Sysadmin
Full Time
USA

Overview

Zilliz is a fast-growing startup developing the industry’s leading vector database company for enterprise-grade AI, committed to simplifying data management for AI applications and making vector databases accessible to every organization.

In Short

  • Serve as a technical resource for developers using Milvus via support channels like Discord and virtual meetings.
  • Help troubleshoot issues in Milvus Docker/Kubernetes deployment and guide developers toward successful implementations.
  • Work directly with strategic users to accelerate adoption and recommend best practices in large scale vector search.
  • Surface feedback to engineering and product teams to inform roadmap decisions.

Requirements

  • A technical background in computer science, data science, or a related field.
  • 2+ years experience in DevOps, solutions engineering, or backend development.
  • Familiarity with Kubernetes and Docker.
  • Excellent communication and empathy in developer-facing conversations.
  • Strong problem-solving skills with database systems or AI/ML infrastructure.
  • Ability to work independently, prioritize user impact, and advocate for developers internally.

Benefits

  • Be part of a fast-growing startup with a mission to democratize AI.
  • Opportunity to work with cutting-edge technologies in AI and database management.
  • Collaborate with a team of experienced engineers and developers.
  • Flexible working environment and potential for remote work.
Zilliz logo

Zilliz

Zilliz is a dynamic startup at the forefront of developing cutting-edge vector database technologies tailored for enterprise-grade AI applications. Founded by the engineers behind Milvus, the leading open-source vector database, Zilliz aims to simplify data management and make advanced vector databases accessible to organizations of all sizes. With a mission to democratize AI, the company focuses on empowering developers to create innovative AI applications efficiently and effectively.

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