Position: Elasticsearch Lead Engineer

• Design, develop, and deploy a log analytics and infrastructure monitoring solution using the Elastic stack (Elasticsearch, Logstash, Beats, and Kibana).  This solution will act in support of an existing identity, credential, and access management (ICAM) system.
• Deploy, configure, test, troubleshoot, maintain, upgrade Elastic clusters and environments
• Plan resources and continuously optimize the infrastructure and configuration of Elasticsearch to maintain cluster health and search performance
• Configure Kibana for end-user access using role-based filtering and/or multi-tenancy features
• Interface with other developers to integrate Elastic stack with existing ICAM baseline
• Responsible for gathering monthly and quarterly metrics for customer review
• Resolve installation, infrastructure, data flow, and log ingest issues in both development and production environments
• Perform daily administration tasks for Elasticsearch clusters and environments
• Work in an Agile environment: estimate features and user stories, participate in developing sprint roadmaps, analyze user stories, develop design and architecture elements to support user story and / or feature development
• Work in DevSecOps environment with automated CI/CD pipelines
• Participate in design reviews
• Develop mockups and wireframes
• Conduct peer reviews and code reviews

• Bachelor's degree in related discipline plus 8-12 years of prior relevant experience or master’s with 6-10 years of prior relevant experience
  • Experience as a software developer, integrator, administrator, or similar technical role
• 5 or more years of demonstrable experience designing, developing, and deploying solutions using the Elastic stack, including Elasticsearch, Logstash, Kibana, and Beats.
• Active Top Secret clearance
  • Must be able to obtain and maintain CI (Counterintelligence) polygraph
• Must be DoD-8570/8140 level 2 compliant
• Experience with Elastic stack security features, such as client authentication, SSL/TLS configuration, and role-based document filtering
• Strong documentation skills with a proven ability to develop troubleshooting guides, standard operating procedures, architecture diagrams, etc.
• Highly autonomous, self-directed, and proactive when it comes to maintaining system infrastructure and log data integrity
• Experience working with Agile tools such as Jira / Confluence etc.

• Elastic Certified Engineer
• Experience with container orchestration technologies like Docker and Kubernetes
• Experience working in a production environment with strict availability/uptime requirements
• Experience or familiarity with identity, credential, and access management (ICAM) technologies and concepts