Elasticsearch Engineer

Jobtailor

Bethesda (MD)

On-site

USD 140,000 - 190,000

Full time

14 days+

Application generator

Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.

Get past ATS filters

Job summary

Jobtailor in Bethesda, MD seeks an Elasticsearch Engineer to design and manage large-scale indexing and search clusters. You will optimize performance, monitor security, and collaborate with DevOps to integrate Elasticsearch into applications and workflows.

Responsibilities include troubleshooting, mentoring, and documenting configurations. Active TS/SCI clearance required, with CI Poly ability. Experience with ELK stack and large data environments is preferred.

Qualifications

Bachelor’s Degree or higher and 8+ years of engineering experience, or Master’s with 1–2 years in Elasticsearch.
Active TS/SCI clearance with ability to obtain CI Poly.
Experience with full System Development Life Cycle and test plans.

Responsibilities

Design, implement, and manage Elasticsearch clusters for large-scale indexing and search.
Optimize performance through tuning, query optimization, and scaling.
Monitor cluster health, performance, and security with proactive measures.
Collaborate with DevOps to integrate Elasticsearch into applications and workflows.
Troubleshoot complex Elasticsearch issues to minimize downtime and data loss.
Implement Elasticsearch security practices including access control and encryption.
Stay current with ELK developments and recommend upgrades or enhancements.
Mentor junior team members and share knowledge and best practices.
Document configurations, procedures, and best practices.
Support D3P Modernization program for DIA/NMEC OSINT capabilities.

Skills

Elasticsearch Cluster Design

Performance Tuning

Elasticsearch Query DSL

Active TS/SCI Clearance

Python Scripting

Team Collaboration

Mentoring

Communication Skills

Agile Project Management

Security Best Practices

Education

Bachelor’s Degree

Master’s Degree

Tools

Logstash

Kibana

Metricbeats

Filebeats

AWS

JIRA

JIRA Service Desk

Confluence

Jenkins

Gitlab

Job description

Design, implement, and manage Elasticsearch clusters supporting large-scale data indexing and search operations
Optimize Elasticsearch performance through configuration tuning, query optimization, and cluster scaling
Monitor cluster health, performance, and security, implementing proactive stability measures
Collaborate with software development and DevOps teams to integrate Elasticsearch into applications and workflows
Troubleshoot and resolve complex Elasticsearch issues while minimizing downtime and data loss
Implement Elasticsearch security best practices, including access controls, authentication, and encryption
Stay current with Elasticsearch and ELK Stack developments and recommend upgrades or enhancements
Mentor junior team members and share knowledge and best practices
Document Elasticsearch configurations, procedures, and best practices
Work with infrastructure, network, and systems engineers on the D3P Modernization program supporting DIA/NMEC OSINT capabilities

Requirements

Bachelor’s Degree and 8+ years of proven experience as an Engineer, 3-5 years experience as an Elasticsearch Engineer, or Master’s with 1-2 years of proven experience as an Elasticsearch Engineer
Years' of experience will be considered in lieu of a degree
Must possess an Active TS/SCI clearance and ability to obtain CI Poly
Experience in system integrations testing through a full system development life cycle, including implementing test plans, test cases and test processes
Strong expertise in Elasticsearch cluster design, performance tuning, and optimization
Proficiency in Elasticsearch query DSL and search query optimization
Experience with Logstash, Kibana, Metricbeats, and Filebeats is a plus
Knowledge of Elasticsearch security practices, including role-based access control and SSL/TLS
Scripting and automation skills with tools like Python, Bash, or Ansible
Familiarity with cloud platforms like AWS
Working in an Agile project management environment
Experience documenting test results for corrective actions, reporting and audits
Strong verbal and written communication skills
Ability to work well on a team and work independently
Knowledge of Atlassian software such as JIRA, JIRA Service Desk, and Confluence is desired
Experience with data engineering tools such as Kubernetes/Rancher and Cloudera is desired
Experience with scripting languages and CI/CD tools like Jenkins or GitLab is desired
Experience working in air-gapped environments is desired
Experience working in large computing environments (> 1,000 endpoints) is desired
Experience maintaining AI/ML environments (NVIDIA hardware and software) is desired
Experience maintaining large data (Petabyte) environments and storage solutions is desired
Experience with advanced Linux network hardware, such as Mellanox Network Cards, is desired
Must be able to work at the Bethesda, MD client location as required by client needs

Core Competencies

Demonstrates extensive expertise in Elasticsearch cluster design, performance tuning, and optimization, along with strong scripting and automation skills. Proficient in implementing security best practices and collaborating effectively with cross-functional teams in Agile environments.

Highest-signal resume keywords