Currently, Recro is seeking a motivated, career and customer- oriented Elastic Engineer, to join our team in Chantilly, VA. Clearance Requirement: TS/SCI w/ CI polygraph. Responsibilities: Responsible for working with the technical team to design, document, build, secure, and maintain Elastic Stack Enterprise solutions (Elasticsearch, Logstash, Kibana, and Beats) deployed in the Cloud or on-premises to support federal agency production deployments. Works closely with architects, engineers, developers, and integrators to assess customer requirements and to design and support an Elasticsearch Stack solution to ensure compliance with dashboard data requirements. Participate in group sessions as well as attend and share in agile sprint daily meetings to track progress to ensure the development of solutions is in support of the customer requirements. Configuring and maintaining Linux-based Operating Systems in support of the Elasticsearch products (yum updates and product version upgrades). Working with a team and providing analysis of alternatives and progress status in daily sprint meetings. Develop and manage effective working relationships with other departments, groups, and personnel with whom work must be coordinated or interface. Recommend enhancements and modifications to optimize business intelligence processes. Position Requirements Requires Bachelor s degree or equivalent and 7 years of related experience Knowledge and experience using NoSQL and related solutions Preferred experience with engineering and administering the Elastic Stack. Or willing to take training within the first 6 months of hire. Experience managing Linux hosts, to include securing to defined baselines (such as NIST 800-53, DISA STIGs, etc.) Experience with data lifecycle management, to include common ETL (Extract, Transform, Load) techniques, preferably with Logstash and Beats Experience planning and integrating data schemas and KQL / Lucene query syntax Experience developing custom visualizations (preferably in Kibana) to convey business analytics of value to customers Experience with automated configuration management tools (Ansible, Chef, Puppet, SaltStack) and containers/orchestration (Docker, Kubernetes), and version control systems (GitHub, GitLab) Experience with cloud infrastructure, preferably Amazon Web Services (AWS) Experience with implementation of and challenges with message queue technologies, such as Apache or Confluent Kafka, RabbitMQ, SQS, etc.