Elasticsearch Engineer

Trinity Global Consulting • Chantilly, VA

3d

About The Position

Design, develop, and deploy a log analytics and infrastructure monitoring solution using the full Elastic stack (Elasticsearch, Logstash, Beats, and Kibana) in support of an existing ICAM system. Deploy, configure, test, troubleshoot, maintain, and upgrade Elastic clusters and environments, including daily administration tasks. Optimize infrastructure and configuration of Elasticsearch to continuously maintain cluster health, search performance, and log data integrity across development and production environments. Configure Kibana for end-user access using role-based filtering and/or multi-tenancy features; interface with developers to integrate the Elastic stack with the existing ICAM baseline. Work within an Agile/DevSecOps environment, participating in sprint planning, design reviews, code reviews, and CI/CD pipeline automation; develop mockups, wireframes, and architecture documentation. Gather and report monthly and quarterly metrics for customer review; develop and maintain troubleshooting guides, SOPs, and architecture diagrams.

Requirements

• Bachelor's degree in a related discipline plus 8-12 years of prior relevant experience, or Master's degree with 6-10 years of prior relevant experience.
• 5 or more years of demonstrable experience designing, developing, and deploying solutions using the Elastic stack (Elasticsearch, Logstash, Kibana, and Beats).
• Active Top Secret security clearance; must be able to obtain and maintain a CI (Counterintelligence) polygraph.
• Must be DoD-8570/8140 Level 2 compliant.
• Experience with Elastic stack security features including client authentication, SSL/TLS configuration, and role-based document filtering.
• Strong documentation skills with demonstrated ability to produce troubleshooting guides, SOPs, and architecture diagrams.
• Experience working with Agile tools such as Jira and Confluence; must be highly autonomous and proactive in maintaining system infrastructure and data integrity.
• U.S. citizenship required.

Nice To Haves

• Elastic Certified Engineer certification.
• Experience with container orchestration technologies such as Docker and Kubernetes.
• Experience working in a production environment with strict availability and uptime requirements.
• Experience or familiarity with Identity, Credential, and Access Management (ICAM) technologies and concepts.

Responsibilities

• Design, develop, and deploy a log analytics and infrastructure monitoring solution using the full Elastic stack (Elasticsearch, Logstash, Beats, and Kibana) in support of an existing ICAM system.
• Deploy, configure, test, troubleshoot, maintain, and upgrade Elastic clusters and environments, including daily administration tasks.
• Optimize infrastructure and configuration of Elasticsearch to continuously maintain cluster health, search performance, and log data integrity across development and production environments.
• Configure Kibana for end-user access using role-based filtering and/or multi-tenancy features; interface with developers to integrate the Elastic stack with the existing ICAM baseline.
• Work within an Agile/DevSecOps environment, participating in sprint planning, design reviews, code reviews, and CI/CD pipeline automation; develop mockups, wireframes, and architecture documentation.
• Gather and report monthly and quarterly metrics for customer review; develop and maintain troubleshooting guides, SOPs, and architecture diagrams.

Benefits

• Medical, Dental & Vision Coverage – Coverage for eligible employees and family through CareFirst and VSP.
• Paid Time Off – PTO granted in accordance with contract requirements.
• Paid Holidays – 11 federal holidays observed annually.
• Disability & Life Insurance – Short-term/long-term disability, life insurance, and AD&D coverage included.
• 401(k) Retirement Plan – Competitive plan managed through Ameritas.
• Professional Training – Formal training provided as required, with additional learning opportunities based on role.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level