Elasticsearch Engineer

ABSC (Absolute Business Solutions Corp.)

Senior Elasticsearch Engineer designing scalable Elasticsearch infrastructure for ABSC’s DoD intelligence data discovery platform. Optimizing search, security, and reliability for DIA/NMEC OSINT missions.

Posted 8/25/2026full-timeBethesda • Maryland • 🇺🇸 United StatesJunior💰 $154,050 - $278,475 per yearWebsite

Core Competencies

Role fit

Core Competencies

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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

Elasticsearch Cluster DesignPerformance TuningElasticsearch Query DSLActive TS/SCI ClearanceScripting with Python

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ElasticsearchPerformance OptimizationQuery OptimizationSystem Integration TestingAutomation with AnsibleData Engineering ToolsCI/CD ToolsLinux Network HardwareAI/ML Environment MaintenanceLarge Data Storage Solutions

Soft Skills

Strong Verbal CommunicationStrong Written CommunicationTeam CollaborationMentoring

Tools & Technologies

LogstashKibanaMetricbeatsFilebeatsAWSJIRAJIRA Service DeskConfluenceJenkinsGitLab

Certifications & Qualifications

Bachelor’s DegreeMaster’s DegreeActive TS/SCI ClearanceCI Poly (Ability to Obtain)

Industry Keywords

Agile Project ManagementD3P Modernization ProgramOSINT CapabilitiesAir-Gapped EnvironmentsLarge Computing Environments

Tech Stack

Tools & technologies

AnsibleAWSCloudElasticSearchJenkinsKubernetesLinuxLogstashPythonTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

Generous PTO plus 11 Federal Holidays
Retirement Planning – 401k Fully Vested with Match
Annual Health and Wellness Allowance
Career Development – Annual Funds to spend on Education and Training (including AI tools!)
Volunteer Time Off – Annually, all employees can spend 8 hours directly supporting a charity of choice
Charitable Match
Referral Program with internal and external referral bonuses
LOV Awards – Earn bonus awards throughout the year from the Living Our Values awards program