Position: Freelance Elasticsearch Consultant for Mailtrap
Company: Railsware
Category: Data Engineer
Experience required: 5y
English level: fluent
Published: 2023-04-01T00:00:00+03:00

It's a FREELANCE consultant job, standart Railsware bonuses do not apply! 

We are seeking an experienced Elasticsearch Expert to consult our engineering team on topics related to implementing Elasticsearch-based solutions. The ideal candidate will have a minimum of 3+ years of hands-on experience in designing, implementing, and maintaining Elasticsearch-based solutions. 

**Responsibilities:**
Consult us on designing and implementing Elasticsearch-based solutions, ensuring optimal performance and scalability.
Collaborate with software engineers to integrate Elasticsearch into our systems if we choose Elasticsearch, as well as configure and optimize clusters for performance and cost efficiency.
Provide recommendations and share best practices for Elasticsearch implementation and maintenance.
Help us to deploy, manage and maintain the self-managed Elasticsearch clusters on AWS.
Provide expertise in Elasticsearch integrations with other systems such as Kibana or logstash.

**Requirements:**
Minimum of 3+ years of experience designing and implementing Elasticsearch-based solutions.
Practical experience managing large data clusters with at least tens of terabytes of data.
Strong knowledge of Elasticsearch cluster configuration, performance optimization, scaling, cost optimization, maintenance, and monitoring.
Hands-on experience with self-managed Elasticsearch cluster setup and deployment on AWS.

**Would be a plus:** 
Familiarity with the deployment of self-managed Elasticsearch clusters on Google or Azure.
Experience with AWS OpenSearch or Elastic Cloud.
Background as a software engineer or data engineer, who had practical experience in integrating Elasticsearch with existing systems.

If you are an Elasticsearch Expert with a proven track record of designing and implementing Elasticsearch-based solutions, managing large data clusters, and optimizing Elasticsearch performance, we would love to hear from you.