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Data Ops Engineer - Remote Eligible

Support engineering teams by optimizing Elasticsearch for search-heavy applications at scale.
Remote
Mid-Level
1 week ago
Podium

Podium

A communication, marketing, and payments platform for local businesses.

✨ About The Role

- The Data Operations Engineer will be responsible for owning and optimizing Elasticsearch and supporting other data technologies like Kafka, RabbitMQ, and Redis. - The role involves collaborating with engineering teams to enhance Elasticsearch performance, including index design and upgrades. - The engineer will monitor data health through metrics and observability, ensuring the systems are reliable and scalable. - Automation of infrastructure using Terraform and Ansible is a key responsibility of this position. - The engineer will also contribute to AI agent projects, ensuring that the underlying data systems are robust and efficient.

âš¡ Requirements

- The ideal candidate has over three years of experience working with data stores, particularly with Elasticsearch. - A strong background in Elasticsearch, with at least two years of deep experience, especially in search functionalities, is essential. - The candidate should be comfortable working with the open-source version of Elasticsearch without vendor support. - Experience in cloud environments, preferably AWS, and familiarity with automation tools like Terraform and Ansible is required. - The successful candidate thrives in fast-paced startup environments and is ready to adapt quickly to new challenges.
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Data Ops Engineer - Remote Eligible
Remote
Engineering
About Podium
A communication, marketing, and payments platform for local businesses.