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G2i

Elasticsearch Specialist

Reposted 14 Days Ago
Remote
Hiring Remotely in USA
Mid level
Remote
Hiring Remotely in USA
Mid level
Manage and optimize Elasticsearch instance for performance, integrate AI/ML features, collaborate on search functionalities and provide technical support.
The summary above was generated by AI

We are seeking an experienced Elasticsearch specialist to join our small but growing startup team.

In this role, you will be responsible for:

  • Managing and optimizing our Elasticsearch instance, ensuring high performance and reliability of our search functionality

  • Leveraging Elasticsearch's AI/ML capabilities, such as vector embeddings, to help integrate large language models and AI agents into our backend

  • Collaborating with the engineering team to build out our real estate search and recommendation features powered by Elasticsearch and AI

  • Providing technical expertise and troubleshooting support for any Elasticsearch-related issues that arise

The ideal candidate will have:

  • Extensive experience with Elasticsearch, including deep knowledge of its configuration, querying, and optimization

  • Strong background in AI/ML, with the ability to explore and implement Elasticsearch's advanced capabilities

  • Experience as an SRE (Site Reliability Engineer), with strong skills in infrastructure reliability, observability, and DevOps practices

  • OR solid experience with Ruby on Rails development

  • Ideally, a combination of SRE and Ruby on Rails knowledge is preferred, but we are open to candidates who specialize strongly in one of the two areas

  • A problem-solving mindset and the ability to work independently in a fast-paced startup environment

  • Excellent communication skills to collaborate cross-functionally

This is a unique opportunity to make a big impact at a growing startup. If you have the Elasticsearch expertise we're looking for, along with experience in either Ruby on Rails or SRE, we’d love to hear from you!

Top Skills

Ai/Ml
Elasticsearch
Ruby On Rails

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