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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
A communication, marketing, and payments platform for local businesses.
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✨ 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.
About Podium
A communication, marketing, and payments platform for local businesses.