• Elasticsearch Engineer

    Insight Global (Reston, VA)


    Job Description

    Insight Global is seeking a Elasticsearch (Elastic/ELK/ECE) Engineer who will be responsible for working with the Dashboard, Integration, and Architecture teams to design, document, build, secure, and maintain Elasticsearch, Logstash, Kibana (and X-Pack) Enterprise solutions deployed in the Cloud or on-premise Lab environment to support federal agency production deployments.

     

    We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form (https://airtable.com/app21VjYyxLDIX0ez/shrOg4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

     

    To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

     

    Skills and Requirements

     

    BS in Computer Science or related field experience required

     

    2+ years of Elasticsearch stack (Elasticsearch, Logstash, Beats, Kibana, and X-pack) experience in production

     

    Linux, CentOS and/or Red Hat Enterprise Linux (RHEL) experience

     

    Experience with Elastic Cloud Enterprise (ECE) a plus

     

    Experience with data ingest, Extract, Transform, and Load (ETL) techniques preferable Logstash and Beats

     

    Experience with multi-node clustering, architecture, development, implementation, and health monitoring of the indexes. Knowledge of hot/warm/cold data/index lifecycle management implementations

     

    Knowledge of Elasticsearch Management