Elasticsearch Engineer

The Software Engineer will design, develop, configure, support, and maintain Elasticsearch clusters and support the development teams around that ecosystem. The ideal candidate is a hands-on platform builder with significant experience in developing scalable data platforms, with experience in business intelligence, analytics, data science, and data products. They must have strong, firsthand technical expertise in a variety of configuration management and big data technologies and the proven ability to fashion robust scalable solutions that can manage large data sets. This person should embody a passion for continuous improvement and innovation.

QUALIFICATIONS
Bachelor’s Degree in Computer Science, Electrical or Computer Engineering or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience.
At least five (5) years of related Elasticsearch experience.

KEY RESPONSIBILITIES:

1. Support Elasticsearch and/or Elastic Cloud for Kubernetes (ECK) clusters.
2. Analyze, design, and develop a processing platform using various configuration management technologies.
3. Provide ongoing maintenance, support, and enhancements in existing systems and platforms.
4. Collaborate cross-functionally with developers, project managers, and other engineers.
5. Troubleshoot complex problems and provide customer support for software systems and application issues.
6. Provide recommendations for continuous improvement.
7. Work alongside other engineers on the team to sustain and advance our organization’s capabilities.

REQUIRED KNOWLEDGE/SKILLS
Demonstrated experience in the following:

1. Hands-on experience working with large SQL or NOSQL database clusters such as Elasticsearch, Greenplum, etc.
2. Experience with designing data models, architecting data systems, and standing up or supporting large data platforms.
3. Experience troubleshooting Elasticsearch cluster and query performance issues to include working on query optimization with developers and tracking down slow logs.
4. DevOps experience building and deploying cloud and on-premise infrastructures with technologies like Ansible, Chef, Puppet, etc.
5. Experience with Scrum/Agile development methodologies.
6. Excellent verbal and written communication skills.
7. Familiarity with ETL pipelines and how to interface with data stores and API endpoints.
8. Capable of delivering on multiple competing priorities with little supervision.

DESIRED KNOWLEDGE/SKILLS
We’re looking for someone with three (3) to five (5) years of experience and is familiar with the following software/tools:

1. Experience with Elasticsearch and related technologies.
2. Experience with infrastructure automation technologies like Docker, Kubernetes, etc.
3. Experience with build automation technologies like Maven, Jenkins, etc.
4. Experience with modern programming languages like Java, Python, etc.