Senior Elastic Engineer - TS/SCI

Senior Elasticsearch Engineer

Our client is seeking a Senior Elasticsearch Engineer supporting DIA-NMEC under our 10-year DOMEX Technology Platform (DTP) contract. We are seeking a highly skilled and experienced Senior Elasticsearch Engineer to join our dynamic team. As a Senior Elasticsearch Engineer, you will play a pivotal role in designing, implementing, and optimizing our Elasticsearch infrastructure to support our growing data and search needs. You will collaborate with cross-functional teams to ensure the reliability, performance, and scalability of our Elasticsearch clusters. While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and, occasionally, some tasks may be performed remotely. Percentage of remote work will vary based on client requirements/deliverables. Come join our award-winning organization and work with some of the most talented and brightest minds in the GovCon industry.

Job Responsibilities:

• Design, implement, and manage Elasticsearch clusters to support large-scale data indexing and search operations.
• Optimize Elasticsearch performance by fine-tuning configurations, query optimizations, and cluster scaling.
• Monitor Elasticsearch clusters for health, performance, and security, and implement proactive measures to ensure system stability.
• Collaborate with software development and DevOps teams to integrate Elasticsearch into our applications and workflows.
• Troubleshoot and resolve complex Elasticsearch-related issues, ensuring minimal downtime and data loss.
• Implement security best practices for Elasticsearch, including access controls, authentication, and encryption.
• Stay up-to-date with Elasticsearch and ELK Stack (Elasticsearch, Logstash, Kibana) developments and recommend upgrades or enhancements.
• Mentor and provide guidance to junior team members, sharing knowledge and best practices.
• Document configurations, procedures, and best practices for Elasticsearch administration.

Required Skills:

• Bachelors Degree and 8+ years of proven experience as an Elasticsearch Engineer or masters with 1-2 years of proven experience as an Elasticsearch Engineer.
• Must possess an Active Top-Secret clearance and ability to obtain TS/SCI with 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.
• Enthusiastic with the ability to work well on a team and a self-starter who can work on their own.

Desired Skills:

• Knowledge of Atlassian software such as JIRA, JIRA Service Desk, and Confluence.
• Experience with data engineering tools such as Kubernetes/Rancher, Cloudera.
• Experience with scripting languages, CI/CD tools, like Jenkins or Gitlab.
• Experience working in an air-gapped environments.
• Experience working in large computing environments (> 1,000 endpoints).
• Experience maintaining AI/ML environments (NVIDIA hardware and software).
• Experience maintaining large data (Petabyte) environments and storage solutions.
• Experience with advanced Linux network hardware (eg: Mellanox Network Cards).

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