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# Elasticsearch Systems Engineer (SME)

- **Company:** Leidos, Inc.
- **Location:** Bethesda, MD, United States
- **Experience:** Experienced
- **Salary:** $154,050 - $278,475
- **Contract:** Permanent contract
- **Skills:** Query Performance, Agile Methodology, Amazon Web Services, Systems Engineering, Microsoft Azure, Data Integrity, Elasticsearch, Performance Tuning, Systems Development Life Cycle, Systems Integration, Google Cloud, Indexer, Devsecops
- **Published:** October 23, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3466566427&tx=JR2317FFK&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 3+ years of experience with Elasticsearch Administration.
 * Direct experience maintaining and integrating Elasticsearch within an operational enterprise information system.
 * Experience working in an Agile development environment and tempo.
 * Experience with deploying and using Elasticsearch in Commercial Cloud Platforms (e.g., AWS, Google Cloud, Azure).
 * Masters with 15 or more years of relevant experience or a PhD with 13 or more years of relevant experience. Additional years of experience may be substituted in lieu of a degree.
 * TS/SCI with Poly is required for consideration.

Preferred Qualifications

 * Experience working on the customer's systems.
 * Understanding of the customer's system development policies.
 * Additional certifications related to Elasticsearch.

## Description

The Elasticsearch Systems Engineer SME role provides support across an Agile team in a DevSecOps environment. This role will provide support for a large enterprise Elasticsearch deployment. This role requires providing design, configuration, maintenance and troubleshooting support in the Elastic environments in both cloud (AWS) and on prem. This role will also collaborate with architecture, engineering, development, and operations teams; ensuring production scalability and stability while maintaining data integrity., * Maintain Elasticsearch clusters in a cloud-based environment across multiple availability zones.

 * Ensure Elasticsearch clusters run under optimal conditions.
 * Evaluate and optimize Elasticsearch clusters, including configuration parameters, indexing, search, query performance tuning, security, and administration.
 * Maintain infrastructure to ensure performance and data integrity.
 * Keep Elasticsearch clusters upgraded, as permitted by the applications reliant on them.