Elasticsearch Lead Engineer Job at Leidos, Burke, VA

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  • Leidos
  • Burke, VA

Job Description

Job Description

Description

The GEOAxIS system provides Identity, Credential and Access Management for all web applications. GEOAxIS enables online, on-demand, access to NGA GEOINT content based on user’s authoritative attributes/roles. Our Mission is to maintain highly available ICAM services for protecting those critical mission applications across all security domains. The GxNext contract was awarded to Leidos in 2021 and runs until 2031.

Responsibilities:

  • 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

Requirements/Qualifications:

  • 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 and ability to obtain and maintain a TS/SCI with 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.

Preferred:

  • 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

Come break things (in a good way). Then build them smarter.

We're the tech company everyone calls when things get weird. We don’t wear capes (they’re a safety hazard), but we do solve high-stakes problems with code, caffeine, and a healthy disregard for “how it’s always been done.”

Original Posting: August 6, 2025

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range: Pay Range $104,650.00 - $189,175.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Job Tags

Contract work,

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