About The Position

ElasticSearch Systems Engineer – TS/SCI with Full Scope Polygraph Xcelerate Solutions is seeking an ElasticSearch Systems Engineer SME to provide expert-level support within an Agile, DevSecOps environment for a large-scale enterprise ElasticSearch deployment. This role is responsible for designing, configuring, maintaining, and troubleshooting Elastic environments across both cloud (AWS) and on-premise infrastructures. The SME will work closely with cross-functional engineering, architecture, and operations teams to ensure performance, scalability, and security of mission-critical systems. Security Clearance: Top Secret / SCI with Full Scope Polygraph Location: Bethesda, MD

Requirements

  • 3+ years of hands-on experience in ElasticSearch administration , maintenance, and integration within operational enterprise environments.
  • Direct experience deploying and supporting ElasticSearch in commercial cloud platforms (e.g., AWS, Google Cloud, Azure).
  • Proven ability to work effectively in Agile and DevSecOps environments.
  • Strong understanding of cluster optimization , query tuning , and index management .
  • Excellent written and verbal communication skills, with the ability to interface effectively with technical and non-technical stakeholders.
  • Master’s degree with 15+ years of relevant experience (or equivalent combination of education and experience).
  • Active TS/SCI clearance with polygraph required.

Nice To Haves

  • Experience supporting customer enterprise systems with ElasticSearch integration.
  • Familiarity with customer system development policies and security standards.

Responsibilities

  • Maintain and administer ElasticSearch clusters across multiple availability zones in a cloud-based environment.
  • Ensure optimal performance, stability, and uptime of ElasticSearch clusters supporting enterprise applications.
  • Evaluate and enhance existing cluster configurations, including indexing, search, and query performance, security, and administration parameters.
  • Maintain infrastructure to preserve data integrity, redundancy, and performance across deployments.
  • Manage and perform cluster upgrades, ensuring compatibility with dependent applications and systems.
  • Design, deploy, and customize clusters to meet various development, testing, and business requirements.
  • Optimize indexes for specific business needs, such as logging, enterprise search, and analytics.
  • Troubleshoot issues ranging from unassigned shards and node/cluster failures to automation and scaling problems.
  • Collaborate closely with architecture, engineering, development, and operations teams to ensure seamless production scalability and stability.
  • Implement and enforce ElasticSearch security best practices to safeguard system data and access.
  • Configure and maintain monitoring and alerting for Elastic environments to ensure proactive issue detection.
  • Follow Elastic best practices and participate in continuous improvement of operational processes.
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